Triple

T12348162
Position Surface form Disambiguated ID Type / Status
Subject Akhiok E294410 entity
Predicate airportIATA P418 FINISHED
Object AKK
AKK is the IATA airport code for Akhiok Airport, a small public airport serving the community of Akhiok in Alaska, United States.
E977233 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: AKK | Statement: [Akhiok, airportIATA, AKK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AKK
Context triple: [Akhiok, airportIATA, AKK]
  • A. AKF
    AKF is a private, non-denominational international development organization founded by the Aga Khan that focuses on improving quality of life in some of the world’s poorest and most marginalized communities.
  • B. ABK
    ABK is the station code for Bahnhof Bad Kleinen, a railway station in the town of Bad Kleinen in northern Germany.
  • C. AKH
    AKH is the FAA location identifier for Gastonia Municipal Airport, a public airport serving Gastonia, North Carolina.
  • D. AKM
    The AKM is a modernized, widely produced variant of the AK-47 assault rifle, known for its reliability, simplicity, and extensive use in militaries and conflicts around the world.
  • E. Akrar
    Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
  • 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: AKK
Triple: [Akhiok, airportIATA, AKK]
Generated description
AKK is the IATA airport code for Akhiok Airport, a small public airport serving the community of Akhiok in Alaska, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AKK
Target entity description: AKK is the IATA airport code for Akhiok Airport, a small public airport serving the community of Akhiok in Alaska, United States.
  • A. AKF
    AKF is a private, non-denominational international development organization founded by the Aga Khan that focuses on improving quality of life in some of the world’s poorest and most marginalized communities.
  • B. ABK
    ABK is the station code for Bahnhof Bad Kleinen, a railway station in the town of Bad Kleinen in northern Germany.
  • C. AKH
    AKH is the FAA location identifier for Gastonia Municipal Airport, a public airport serving Gastonia, North Carolina.
  • D. AKM
    The AKM is a modernized, widely produced variant of the AK-47 assault rifle, known for its reliability, simplicity, and extensive use in militaries and conflicts around the world.
  • E. Akrar
    Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7ba17481908b03af7316b28d9b completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aae8d7c8190a722c28a5a153d1d completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62c569a6c8190aecf8a4c627d8893 completed May 2, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_69f62d07d3148190a45542c8d43a7077 completed May 2, 2026, 4:57 p.m.
Created at: April 8, 2026, 9:53 p.m.