Triple

T16838863
Position Surface form Disambiguated ID Type / Status
Subject geiko E409352 entity
Predicate locatedIn P40 FINISHED
Object Gion Higashi district E83963 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: Gion Higashi district | Statement: [geiko, locatedIn, Gion Higashi district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gion Higashi district
Context triple: [geiko, locatedIn, Gion Higashi district]
  • A. Gion district chosen
    Gion district is Kyoto’s famous traditional entertainment quarter, renowned for its historic wooden machiya houses, teahouses, and geisha (geiko and maiko) culture.
  • B. Komagome district
    Komagome district is a residential and commercial neighborhood in Tokyo, Japan, known for its traditional atmosphere, historic temples, and proximity to Rikugien Garden.
  • C. Shinsekai district
    Shinsekai district is an old entertainment neighborhood in Osaka, Japan, known for its retro atmosphere, Tsutenkaku Tower, and vibrant street food and nightlife scene.
  • D. Fushimi district
    Fushimi district is a historic area in southern Kyoto, Japan, known for its sake breweries, traditional streets, and important Shinto sites.
  • E. Kōjimachi district
    Kōjimachi district is a central Tokyo neighborhood in Chiyoda Ward known for its mix of government offices, corporate headquarters, and upscale residential areas.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34ed7d48190a5f8d9f03a332a22 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b3802f08190acd5be6e2ccef2d7 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:23 a.m.