Triple

T15318829
Position Surface form Disambiguated ID Type / Status
Subject Warrant Officer Basic Course E366233 entity
Predicate shortName P43 FINISHED
Object WOBC
WOBC is the U.S. Army’s initial training course that prepares newly appointed warrant officers for their technical and leadership responsibilities.
 E1150419 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: WOBC | Statement: [Warrant Officer Basic Course, shortName, WOBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WOBC
Context triple: [Warrant Officer Basic Course, shortName, WOBC]
  • A. WOB
    WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
  • B. OUWBC
    OUWBC is the rowing club that represents the University of Oxford’s women in the annual Boat Race and other major rowing competitions.
  • C. WBLA
    WBLA is the commonly used abbreviation for the West Bengal Legislative Assembly, the unicameral state legislature of West Bengal, India.
  • D. WPO
    WPO is the former stock ticker symbol for The Washington Post Company, the media conglomerate that owned The Washington Post newspaper before reorganizing as Graham Holdings Company.
  • E. WEOG
    WEOG is the United Nations’ regional group for Western European and other like-minded states, used primarily for consultations and the allocation of seats in UN bodies.
  • 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: WOBC
Triple: [Warrant Officer Basic Course, shortName, WOBC]
Generated description
WOBC is the U.S. Army’s initial training course that prepares newly appointed warrant officers for their technical and leadership responsibilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WOBC
Target entity description: WOBC is the U.S. Army’s initial training course that prepares newly appointed warrant officers for their technical and leadership responsibilities.
  • A. WOB
    WOB is the vehicle registration code used on license plates for cars registered in Wolfsburg, Germany.
  • B. OUWBC
    OUWBC is the rowing club that represents the University of Oxford’s women in the annual Boat Race and other major rowing competitions.
  • C. WBLA
    WBLA is the commonly used abbreviation for the West Bengal Legislative Assembly, the unicameral state legislature of West Bengal, India.
  • D. WPO
    WPO is the former stock ticker symbol for The Washington Post Company, the media conglomerate that owned The Washington Post newspaper before reorganizing as Graham Holdings Company.
  • E. WEOG
    WEOG is the United Nations’ regional group for Western European and other like-minded states, used primarily for consultations and the allocation of seats in UN bodies.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dd356b881908f054b64eee6a371 completed April 16, 2026, 1:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a9085881909904152c32b0fed1 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefc8251d08190bf8a764f83f89d7e completed May 9, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_69fefd6c2bf88190b17a03be7b3353e3 completed May 9, 2026, 9:25 a.m.
Created at: April 10, 2026, 3:16 a.m.