Triple
T8845167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSMC Honolulu |
E210486
|
entity |
| Predicate | coordinatedWith |
P435
|
FINISHED |
| Object |
RSMC Tokyo
RSMC Tokyo is the Regional Specialized Meteorological Center operated by the Japan Meteorological Agency that monitors and issues official forecasts and warnings for tropical cyclones in the western North Pacific and South China Sea.
|
E765010
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: RSMC Tokyo | Statement: [RSMC Honolulu, coordinatedWith, RSMC Tokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RSMC Tokyo Context triple: [RSMC Honolulu, coordinatedWith, RSMC Tokyo]
-
A.
RSMC Honolulu
RSMC Honolulu is a World Meteorological Organization-designated center responsible for specialized tropical cyclone forecasting and related meteorological services in the Central Pacific region.
-
B.
RSMC Beijing
RSMC Beijing is a World Meteorological Organization-designated regional center in China that provides specialized meteorological forecasting and warning services, particularly for severe weather and environmental hazards, to countries in its area of responsibility.
-
C.
RSMC Nadi
RSMC Nadi is a World Meteorological Organization-designated regional center in Fiji responsible for tropical cyclone forecasting and warnings in the South Pacific region.
-
D.
RSMC Toulouse
RSMC Toulouse is a World Meteorological Organization-designated center in France that specializes in providing regional meteorological and atmospheric dispersion forecasts, particularly for environmental emergencies.
-
E.
RSMC Melbourne
RSMC Melbourne is a World Meteorological Organization-designated center in Australia that provides specialized meteorological services, particularly for tropical cyclone and severe weather monitoring and forecasting in its assigned region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RSMC Tokyo Triple: [RSMC Honolulu, coordinatedWith, RSMC Tokyo]
Generated description
RSMC Tokyo is the Regional Specialized Meteorological Center operated by the Japan Meteorological Agency that monitors and issues official forecasts and warnings for tropical cyclones in the western North Pacific and South China Sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RSMC Tokyo Target entity description: RSMC Tokyo is the Regional Specialized Meteorological Center operated by the Japan Meteorological Agency that monitors and issues official forecasts and warnings for tropical cyclones in the western North Pacific and South China Sea.
-
A.
RSMC Honolulu
RSMC Honolulu is a World Meteorological Organization-designated center responsible for specialized tropical cyclone forecasting and related meteorological services in the Central Pacific region.
-
B.
RSMC Beijing
RSMC Beijing is a World Meteorological Organization-designated regional center in China that provides specialized meteorological forecasting and warning services, particularly for severe weather and environmental hazards, to countries in its area of responsibility.
-
C.
RSMC Nadi
RSMC Nadi is a World Meteorological Organization-designated regional center in Fiji responsible for tropical cyclone forecasting and warnings in the South Pacific region.
-
D.
RSMC Toulouse
RSMC Toulouse is a World Meteorological Organization-designated center in France that specializes in providing regional meteorological and atmospheric dispersion forecasts, particularly for environmental emergencies.
-
E.
RSMC Melbourne
RSMC Melbourne is a World Meteorological Organization-designated center in Australia that provides specialized meteorological services, particularly for tropical cyclone and severe weather monitoring and forecasting in its assigned region.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60a6623c8190ba43545544f58633 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab821e808190a918bf787cde54b6 |
completed | April 3, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_69cfad8cb9cc81909d4df290c7411898 |
completed | April 3, 2026, 12:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfae0141b48190a443ae181a495bf6 |
completed | April 3, 2026, 12:09 p.m. |
Created at: March 30, 2026, 6:48 p.m.