Triple
T1701069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Observing System |
E36767
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | GOS |
E36767
|
NE FINISHED |
How this triple was built (2 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: GOS | Statement: [Global Observing System, abbreviation, GOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GOS Context triple: [Global Observing System, abbreviation, GOS]
-
A.
GOS
chosen
GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
-
B.
GOC
GOC is the standardised set of spelling and writing rules used for modern Scottish Gaelic.
-
C.
GÖ
GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
-
D.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
E.
Goes
Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62d6c7c88190998ce97d65395280 |
completed | March 6, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad799f98e48190b9eaf6f5151f4c80 |
completed | March 8, 2026, 1:29 p.m. |
Created at: March 4, 2026, 7:30 p.m.