Triple

T2566995
Position Surface form Disambiguated ID Type / Status
Subject Arashiyama Bamboo Grove E57374 entity
Predicate locatedIn P40 FINISHED
Object Sagano area E284987 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: Sagano area | Statement: [Arashiyama Bamboo Grove, locatedIn, Sagano area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sagano area
Context triple: [Arashiyama Bamboo Grove, locatedIn, Sagano area]
  • A. Arashiyama district chosen
    Arashiyama district is a scenic area on the western outskirts of Kyoto, Japan, famed for its bamboo groves, historic temples, and iconic Togetsukyo Bridge.
  • B. Aoyama area
    The Aoyama area is an upscale Tokyo neighborhood known for its fashionable boutiques, contemporary architecture, and trendy cafes and galleries.
  • C. Inokashira Park area
    The Inokashira Park area is a popular green space in Tokyo’s western suburbs, known for its large pond, cherry blossoms, and cultural attractions such as the nearby Ghibli Museum.
  • D. Toyonaka
    Toyonaka is a suburban city in Japan’s Kansai region known for its residential neighborhoods, educational institutions, and proximity to central Osaka.
  • E. Ueno
    Ueno is a major district in Tokyo known for Ueno Park, its museums, zoo, and busy transportation hub.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3602ed08190aad0f9c7ac577eb0 completed March 7, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc02409f081909664f3041d328232 completed March 10, 2026, 6:54 a.m.
Created at: March 6, 2026, 9:48 p.m.