Triple

T6195146
Position Surface form Disambiguated ID Type / Status
Subject Libby Army Airfield E138490 entity
Predicate IATACode P418 FINISHED
Object FHU
FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
 E575405 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: FHU | Statement: [Libby Army Airfield, IATACode, FHU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FHU
Context triple: [Libby Army Airfield, IATACode, FHU]
  • A. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • B. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • C. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • D. FNH
    FNH is the National Rail station code for Farnham railway station in Surrey, England.
  • E. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • 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: FHU
Triple: [Libby Army Airfield, IATACode, FHU]
Generated description
FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FHU
Target entity description: FHU is the IATA airport code for Libby Army Airfield, a joint-use military and civilian airport serving the Fort Huachuca area in Arizona, United States.
  • A. FHU
    FHU is the national governing body responsible for overseeing and developing ice hockey in Ukraine.
  • B. FH
    FH is the vehicle registration code used on license plates for the emirate of Fujairah in the United Arab Emirates.
  • C. FhG
    FhG is the abbreviation for the Fraunhofer Society, a leading German organization for applied research and development.
  • D. FNH
    FNH is the National Rail station code for Farnham railway station in Surrey, England.
  • E. FÜ
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062443cec81909dc9bafea2f5e7d4 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f234ffc8190a6e8166e2ac554a8 completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1e32429f48190bc18f4d78f3c79e8 completed March 24, 2026, 1:04 a.m.
NED2 Entity disambiguation (via description) batch_69c1e4844f848190bf67d916851514bc completed March 24, 2026, 1:10 a.m.
Created at: March 22, 2026, 4:19 p.m.