Triple

T11522749
Position Surface form Disambiguated ID Type / Status
Subject Sugamo Station E273206 entity
Predicate locatedInWard P40 FINISHED
Object Toshima-ku E691228 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: Toshima-ku | Statement: [Sugamo Station, locatedInWard, Toshima-ku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toshima-ku
Context triple: [Sugamo Station, locatedInWard, Toshima-ku]
  • A. Takatsu-ku
    Takatsu-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known as a residential and commercial area within the Greater Tokyo metropolitan region.
  • B. Toshima ward chosen
    Toshima ward is a special ward in Tokyo, Japan, known for its major commercial and entertainment hub Ikebukuro and its dense urban residential neighborhoods.
  • C. Bunkyō-ku
    Bunkyō-ku is a central Tokyo ward known for its universities, cultural institutions, and quiet residential neighborhoods.
  • D. Miyagino-ku
    Miyagino-ku is one of the administrative wards of Sendai, Japan, known for its mix of residential areas, commercial facilities, and transportation hubs.
  • E. Taisho-ku
    Taisho-ku is one of Osaka City's 24 wards, known for its port facilities, industrial areas, and significant Okinawan community.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd26648819083de19bcddf8ad69 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb6b97888190923ce7a6e59ff752 completed May 8, 2026, 3:04 p.m.
Created at: April 8, 2026, 9:37 p.m.