Triple

T15765443
Position Surface form Disambiguated ID Type / Status
Subject Nagoya Airfield E382207 entity
Predicate locatedInMunicipality P40 FINISHED
Object Kasugai NE NERFINISHED

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: Kasugai | Statement: [Nagoya Airfield, locatedInMunicipality, Kasugai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasugai
Context triple: [Nagoya Airfield, locatedInMunicipality, Kasugai]
  • A. Kasugai chosen
    Kasugai is a city in Aichi Prefecture, Japan, known as a residential and industrial suburb in the Greater Nagoya metropolitan area.
  • B. Sakaide
    Sakaide is a coastal city in Japan known for its industrial port facilities and its location near the Seto Ohashi Bridge in Kagawa Prefecture on Shikoku Island.
  • C. Ichijō
    Ichijō is a Japanese surname historically associated with an aristocratic kuge family of the Fujiwara clan and borne by various notable figures in Japanese history and culture.
  • D. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • E. Nagashima
    Nagashima is a Japanese surname most famously associated with legendary baseball player and manager Shigeo Nagashima.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b8154881908afe5191e6424f15 completed April 16, 2026, 3 a.m.
Created at: April 10, 2026, 4:47 a.m.