Triple

T8010810
Position Surface form Disambiguated ID Type / Status
Subject Hood Army Airfield E186485 entity
Predicate hasICAOCode P419 FINISHED
Object KHLR
KHLR is the ICAO airport code for Hood Army Airfield, a U.S. military airfield located at Fort Cavazos (formerly Fort Hood) in Texas.
 E707356 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: KHLR | Statement: [Hood Army Airfield, hasICAOCode, KHLR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KHLR
Context triple: [Hood Army Airfield, hasICAOCode, KHLR]
  • A. KHC
    KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
  • B. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • C. KHS
    KHS is an Indian government institution dedicated to the promotion, teaching, and research of the Hindi language.
  • D. HRLA
    HRLA is a governmental body responsible for overseeing health-related regulation, licensing, and compliance activities.
  • E. HRL
    HRL is a renowned research center known for pioneering work in fields such as microelectronics, information and quantum sciences, and advanced materials.
  • 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: KHLR
Triple: [Hood Army Airfield, hasICAOCode, KHLR]
Generated description
KHLR is the ICAO airport code for Hood Army Airfield, a U.S. military airfield located at Fort Cavazos (formerly Fort Hood) in Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KHLR
Target entity description: KHLR is the ICAO airport code for Hood Army Airfield, a U.S. military airfield located at Fort Cavazos (formerly Fort Hood) in Texas.
  • A. KHC
    KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
  • B. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • C. KHS
    KHS is an Indian government institution dedicated to the promotion, teaching, and research of the Hindi language.
  • D. HRLA
    HRLA is a governmental body responsible for overseeing health-related regulation, licensing, and compliance activities.
  • E. HRL
    HRL is a renowned research center known for pioneering work in fields such as microelectronics, information and quantum sciences, and advanced materials.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d70caf8819090a9f98025470c0d completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56a54e8081908208b57b7390cc95 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58ecd0608190ab0880992bc203fb completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cb791b48190bd5004b518d23f84 completed March 31, 2026, 11:45 p.m.
Created at: March 30, 2026, 5:19 p.m.