Triple

T11592670
Position Surface form Disambiguated ID Type / Status
Subject Buckley Air Force Base E274921 entity
Predicate hasFaaCode P420 FINISHED
Object BKF
BKF is the FAA location identifier for Buckley Air Force Base, a U.S. military installation in Colorado.
 E934260 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: BKF | Statement: [Buckley Air Force Base, hasFaaCode, BKF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BKF
Context triple: [Buckley Air Force Base, hasFaaCode, BKF]
  • A. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • B. BKM
    BKM is the abbreviated name for Germany’s Federal Government Commissioner for Culture and the Media, the authority responsible for national cultural policy and media affairs.
  • C. BKW
    BKW is the IATA airport code for Raleigh County Memorial Airport serving Beckley, West Virginia.
  • D. BKS
    BKS is the former New York Stock Exchange ticker symbol for Barnes & Noble, the large American bookselling and retail company.
  • E. BKS
    BKS is the station code for Bekasi Station, a major commuter and intercity railway hub in Bekasi, West Java, 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: BKF
Triple: [Buckley Air Force Base, hasFaaCode, BKF]
Generated description
BKF is the FAA location identifier for Buckley Air Force Base, a U.S. military installation in Colorado.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BKF
Target entity description: BKF is the FAA location identifier for Buckley Air Force Base, a U.S. military installation in Colorado.
  • A. BKB
    BKB is the IATA airport code for Nal Airport, a regional airport serving Bikaner in the Indian state of Rajasthan.
  • B. BKM
    BKM is the abbreviated name for Germany’s Federal Government Commissioner for Culture and the Media, the authority responsible for national cultural policy and media affairs.
  • C. BKW
    BKW is the IATA airport code for Raleigh County Memorial Airport serving Beckley, West Virginia.
  • D. BKS
    BKS is the former New York Stock Exchange ticker symbol for Barnes & Noble, the large American bookselling and retail company.
  • E. BKS
    BKS is the station code for Bekasi Station, a major commuter and intercity railway hub in Bekasi, West Java, 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946594348190935106132fd18028 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e714634b308190bdcb761f8b6712e7 completed April 21, 2026, 6:08 a.m.
NEDg Description generation batch_69e720fc0f38819083bd15169f2ce4bb completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72353c19c8190b7a579e9af823872 completed April 21, 2026, 7:12 a.m.
Created at: April 8, 2026, 9:38 p.m.