Triple

T21154606
Position Surface form Disambiguated ID Type / Status
Subject Weapons Instructor Course E521279 entity
Predicate abbreviation P43 FINISHED
Object WIC
WIC is a rigorous advanced military training program that develops expert weapons and tactics instructors for combat aviation and related operational units.
 E1469656 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: WIC | Statement: [Weapons Instructor Course, abbreviation, WIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WIC
Context triple: [Weapons Instructor Course, abbreviation, WIC]
  • A. WIC
    WIC is a U.S. federal assistance program that provides supplemental foods, nutrition education, and health care referrals to low-income pregnant women, new mothers, infants, and young children.
  • B. WIC
    WIC is the common abbreviation for the Dutch West India Company, a 17th-century chartered trading company of the Dutch Republic involved in Atlantic trade, colonization, and privateering.
  • C. WIC
    WIC is the National Rail station code for Wickford railway station in Essex, England.
  • D. WICA
    WICA is the ICAO airport code assigned to Kertajati International Airport in West Java, Indonesia.
  • E. WICC
    WICC is the ICAO airport code for Husein Sastranegara International Airport in Bandung, Indonesia.
  • 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: WIC
Triple: [Weapons Instructor Course, abbreviation, WIC]
Generated description
WIC is a rigorous advanced military training program that develops expert weapons and tactics instructors for combat aviation and related operational units.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WIC
Target entity description: WIC is a rigorous advanced military training program that develops expert weapons and tactics instructors for combat aviation and related operational units.
  • A. WIC
    WIC is the common abbreviation for the Dutch West India Company, a 17th-century chartered trading company of the Dutch Republic involved in Atlantic trade, colonization, and privateering.
  • B. WIC
    WIC is a U.S. federal assistance program that provides supplemental foods, nutrition education, and health care referrals to low-income pregnant women, new mothers, infants, and young children.
  • C. WIC
    WIC is the National Rail station code for Wickford railway station in Essex, England.
  • D. WICA
    WICA is the ICAO airport code assigned to Kertajati International Airport in West Java, Indonesia.
  • E. WICC
    WICC is the ICAO airport code for Husein Sastranegara International Airport in Bandung, Indonesia.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252a48788190bfdfe811fc6cfc06 completed April 21, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a096dca1b28819087d3d6d118e7eaee completed May 17, 2026, 7:27 a.m.
NEDg Description generation batch_6a096e6cce748190ba618dfe86f7f6ce completed May 17, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_6a096f7706448190a1bb61535e0adcd3 completed May 17, 2026, 7:34 a.m.
Created at: April 16, 2026, 2:58 p.m.