Triple

T6104842
Position Surface form Disambiguated ID Type / Status
Subject Gastonia Municipal Airport E136091 entity
Predicate FAA LID P420 FINISHED
Object AKH
AKH is the FAA location identifier for Gastonia Municipal Airport, a public airport serving Gastonia, North Carolina.
 E568463 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: AKH | Statement: [Gastonia Municipal Airport, FAA LID, AKH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AKH
Context triple: [Gastonia Municipal Airport, FAA LID, AKH]
  • A. AKX
    AKX is the IATA airport code for Aktobe International Airport in Aktobe, Kazakhstan.
  • B. AHN
    AHN is the IATA airport code for Athens Ben Epps Airport, a regional airport serving Athens, Georgia, in the United States.
  • C. AHX
    AHX is the ICAO airline designator assigned to Amakusa Airlines, a regional carrier based in Japan.
  • D. ASHAK
    ASHAK is the acronym for the Academy of Sciences and Arts of Kosovo, the country’s highest institution for scientific and artistic research and promotion.
  • E. Akhsar
    Akhsar is a heroic figure from the Nart sagas, the traditional epic folklore of the peoples of the Caucasus.
  • 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: AKH
Triple: [Gastonia Municipal Airport, FAA LID, AKH]
Generated description
AKH is the FAA location identifier for Gastonia Municipal Airport, a public airport serving Gastonia, North Carolina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AKH
Target entity description: AKH is the FAA location identifier for Gastonia Municipal Airport, a public airport serving Gastonia, North Carolina.
  • A. AKX
    AKX is the IATA airport code for Aktobe International Airport in Aktobe, Kazakhstan.
  • B. AHN
    AHN is the IATA airport code for Athens Ben Epps Airport, a regional airport serving Athens, Georgia, in the United States.
  • C. AHX
    AHX is the ICAO airline designator assigned to Amakusa Airlines, a regional carrier based in Japan.
  • D. ASHAK
    ASHAK is the acronym for the Academy of Sciences and Arts of Kosovo, the country’s highest institution for scientific and artistic research and promotion.
  • E. Akhsar
    Akhsar is a heroic figure from the Nart sagas, the traditional epic folklore of the peoples of the Caucasus.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3f8e5481909e85a60aaf319f66 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1255759f48190a6aadf33406dcb49 completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c1275910108190a0a5f458a468c292 completed March 23, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_69c127b831d081909436a62e002d1fa5 completed March 23, 2026, 11:44 a.m.
Created at: March 22, 2026, 4:13 p.m.