Triple
T12924952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warrant Officer 1 |
E309219
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
WO1
WO1 is the lowest commissioned warrant officer rank in several armed forces, typically held by highly skilled technical specialists and leaders.
|
E1012161
|
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: WO1 | Statement: [Warrant Officer 1, abbreviation, WO1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WO1 Context triple: [Warrant Officer 1, abbreviation, WO1]
-
A.
Wo!!
Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
-
B.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
C.
WUN
WUN is the commonly used abbreviation for Western United FC, a professional soccer club based in Victoria, Australia that competes in the A-League Men.
-
D.
WUN
WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
-
E.
WoS
WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
- 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: WO1 Triple: [Warrant Officer 1, abbreviation, WO1]
Generated description
WO1 is the lowest commissioned warrant officer rank in several armed forces, typically held by highly skilled technical specialists and leaders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WO1 Target entity description: WO1 is the lowest commissioned warrant officer rank in several armed forces, typically held by highly skilled technical specialists and leaders.
-
A.
Wo!!
Wo!! is a hit Nigerian street-hop single by rapper Olamide, known for its catchy beat, dance-inducing vibe, and massive popularity across Nigeria.
-
B.
WUN
WUN is the vehicle registration code for the district of Wunsiedel im Fichtelgebirge in Upper Franconia, Germany.
-
C.
WUN
WUN is the commonly used abbreviation for Western United FC, a professional soccer club based in Victoria, Australia that competes in the A-League Men.
-
D.
WUN
WUN is a global consortium of research-intensive universities that collaborate on international education and research initiatives.
-
E.
WoS
WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e9576c81908eb59569af6da877 |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af64905c8190b0f2adb66c17c476 |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b19fbe3881909e08628c0672388b |
completed | May 3, 2026, 2:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b5d11960819092c920f19eaad540 |
completed | May 3, 2026, 2:41 a.m. |
Created at: April 9, 2026, 5:42 p.m.