Triple

T8833136
Position Surface form Disambiguated ID Type / Status
Subject Amakusa Airfield E210194 entity
Predicate alsoKnownAs P39 FINISHED
Object Amakusa Airport E768899 NE FINISHED

How this triple was built (2 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: Amakusa Airport | Statement: [Amakusa Airfield, alsoKnownAs, Amakusa Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amakusa Airport
Context triple: [Amakusa Airfield, alsoKnownAs, Amakusa Airport]
  • A. Amakusa Airport chosen
    Amakusa Airport is a regional airport serving the Amakusa Islands area in Kumamoto Prefecture, Japan, providing domestic air connections to the mainland.
  • B. Tokunoshima Airport
    Tokunoshima Airport is a regional Japanese airport serving Tokunoshima in Kagoshima Prefecture, providing domestic connections within the Amami Islands and to mainland Japan.
  • C. Amami Airport
    Amami Airport is a regional airport in Japan serving the Amami Islands in Kagoshima Prefecture, providing domestic connections to mainland Japan and nearby islands.
  • D. Osubi Airport
    Osubi Airport is a domestic airport serving the city of Warri and its surrounding region in Delta State, Nigeria.
  • E. Shimojishima Airport
    Shimojishima Airport is a regional airport in Japan’s Okinawa Prefecture serving the Miyako Islands, known for its long runway and use for both civil and pilot training operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60670fa48190b2a873f6498de7f6 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd07d7214819083eb74a5a1a4af2a completed April 3, 2026, 2:36 p.m.
Created at: March 30, 2026, 6:47 p.m.