Triple

T2528643
Position Surface form Disambiguated ID Type / Status
Subject Shinagawa, Tokyo, Japan E56100 entity
Predicate hasLandmark P105 FINISHED
Object Shinagawa Station E235547 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: Shinagawa Station | Statement: [Shinagawa, Tokyo, Japan, hasLandmark, Shinagawa Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinagawa Station
Context triple: [Shinagawa, Tokyo, Japan, hasLandmark, Shinagawa Station]
  • A. Shinagawa Station chosen
    Shinagawa Station is a major railway and transportation hub in Tokyo, Japan, serving multiple JR and private lines as well as Shinkansen high-speed trains.
  • B. Meguro Station
    Meguro Station is a major railway and subway hub in Tokyo’s Meguro ward, serving multiple JR and Tokyo Metro lines and providing convenient access to central and southwestern Tokyo.
  • C. Higashi-Shinjuku Station
    Higashi-Shinjuku Station is an underground railway station in Tokyo’s Shinjuku ward that serves as a transit hub on multiple subway lines.
  • D. Kyobashi Station
    Kyobashi Station is a major railway hub in Osaka, Japan, serving multiple JR West, Keihan, and Osaka Metro lines and connecting central Osaka with surrounding areas.
  • E. Shin-Okubo Station
    Shin-Okubo Station is a busy railway station in Tokyo’s Shinjuku ward, known for serving the city’s Koreatown area and providing convenient access to central Tokyo.
  • 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_69ab4a48e4f081908f1218d244608659 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd25903f08190b46e12d32278daca completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69bf9ac44d688190ac6307d26a89e238 completed March 22, 2026, 7:31 a.m.
Created at: March 6, 2026, 9:46 p.m.