Triple

T11588014
Position Surface form Disambiguated ID Type / Status
Subject Meiji-dori E274802 entity
Predicate passesThrough P225 FINISHED
Object Nishi-Nippori E680580 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: Nishi-Nippori | Statement: [Meiji-dori, passesThrough, Nishi-Nippori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nishi-Nippori
Context triple: [Meiji-dori, passesThrough, Nishi-Nippori]
  • A. Nishi-Ikebukuro
    Nishi-Ikebukuro is a neighborhood in Tokyo known as the western part of the Ikebukuro area, featuring a mix of residential streets, commercial facilities, and educational institutions.
  • B. Nippori area chosen
    Nippori area is a neighborhood in Tokyo known for its traditional shitamachi atmosphere, fabric and textile district, and proximity to major rail connections.
  • C. Nakameguro
    Nakameguro is a trendy Tokyo neighborhood known for its cherry tree–lined Meguro River, stylish cafes, boutiques, and vibrant nightlife.
  • D. Minami-Osawa
    Minami-Osawa is a suburban district in Tama, Tokyo, known for its large shopping centers, university campuses, and role as a key residential and commercial hub within Tama New Town.
  • E. Nishi-Ogikubo
    Nishi-Ogikubo is a Tokyo neighborhood known for its laid-back residential atmosphere, vintage and antique shops, and small independent cafes and bars.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89463360c8190b91228c46bfe2e5f completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8bcbb34819088c21d79357eef8a completed May 3, 2026, 9:06 p.m.
Created at: April 8, 2026, 9:38 p.m.