Triple
T8624035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Space Week |
E204239
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
WSW
WSW is the commonly used abbreviation for World Space Week, an annual international celebration of science and technology and their contribution to the betterment of the human condition.
|
E747438
|
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: WSW | Statement: [World Space Week, abbreviation, WSW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WSW Context triple: [World Space Week, abbreviation, WSW]
-
A.
WSSS
WSSS is the ICAO airport code for Singapore Changi Airport, one of the world’s busiest and most highly rated international air hubs.
-
B.
WSM
WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
-
C.
SWV
SWV (Sisters With Voices) is an American R&B girl group best known for their 1990s hits like "Weak," "Right Here/Human Nature," and "I'm So Into You."
-
D.
SWV
SWV is the IATA airport code for Severo-Kurilsk Airport, which serves the town of Severo-Kurilsk in Russia’s Kuril Islands.
-
E.
WSF
WSF is the commonly used abbreviation for Washington State Ferries, the largest ferry system in the United States serving routes across Puget Sound and nearby waterways.
- 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: WSW Triple: [World Space Week, abbreviation, WSW]
Generated description
WSW is the commonly used abbreviation for World Space Week, an annual international celebration of science and technology and their contribution to the betterment of the human condition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WSW Target entity description: WSW is the commonly used abbreviation for World Space Week, an annual international celebration of science and technology and their contribution to the betterment of the human condition.
-
A.
WSSS
WSSS is the ICAO airport code for Singapore Changi Airport, one of the world’s busiest and most highly rated international air hubs.
-
B.
WSM
WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
-
C.
SWV
SWV (Sisters With Voices) is an American R&B girl group best known for their 1990s hits like "Weak," "Right Here/Human Nature," and "I'm So Into You."
-
D.
SWV
SWV is the IATA airport code for Severo-Kurilsk Airport, which serves the town of Severo-Kurilsk in Russia’s Kuril Islands.
-
E.
WSF
WSF is the commonly used abbreviation for Washington State Ferries, the largest ferry system in the United States serving routes across Puget Sound and nearby waterways.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4728360c8190b5e600596cbced0c |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbe6a7e48190a166a31dccd8ac16 |
completed | April 2, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69cebe299de881909dcbb37b2b718201 |
completed | April 2, 2026, 7:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebedb7f0c8190be98ffec07ce6fbc |
completed | April 2, 2026, 7:09 p.m. |
Created at: March 30, 2026, 6:26 p.m.