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.