Triple

T14948419
Position Surface form Disambiguated ID Type / Status
Subject Air Do E372727 entity
Predicate callsign P1565 FINISHED
Object AIR DO E651176 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: AIR DO | Statement: [Air Do, callsign, AIR DO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AIR DO
Context triple: [Air Do, callsign, AIR DO]
  • A. AIRDO chosen
    AIRDO is a Japanese regional airline based in Hokkaido that operates domestic flights connecting Hokkaido with major cities across Japan.
  • B. Airai
    Airai is a state in the Republic of Palau known for hosting the country’s main international airport and serving as a key gateway to the islands.
  • C. AIRFA
    AIRFA is a U.S. federal law enacted in 1978 to protect and preserve the traditional religious rights and cultural practices of American Indians, Alaska Natives, and Native Hawaiians.
  • D. AIRCOM
    AIRCOM is NATO’s Allied Air Command headquartered at Ramstein Air Base, responsible for commanding and controlling the Alliance’s air and space operations in Europe.
  • E. AIR (SC)
    AIR (SC) is a widely cited Indian law report series that publishes authoritative judgments of the Supreme Court of India.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68e35c481908e47cd68441c5115 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e986dfc8190a5cf363dabe6bdef completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:39 a.m.