Triple

T5905461
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Shibuya E131330 entity
Predicate seat P75 FINISHED
Object Shibuya City Office E23566 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: Shibuya City Office | Statement: [Mayor of Shibuya, seat, Shibuya City Office]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shibuya City Office
Context triple: [Mayor of Shibuya, seat, Shibuya City Office]
  • A. Shibuya City Office chosen
    Shibuya City Office is the municipal government headquarters responsible for administering public services and local governance in Tokyo’s Shibuya ward.
  • B. Shinjuku Ward Office
    Shinjuku Ward Office is the main administrative government building serving Tokyo’s Shinjuku ward, handling local civic services and ward governance.
  • C. Shinagawa City Office
    Shinagawa City Office is the main administrative headquarters and municipal government building serving Tokyo’s Shinagawa ward.
  • D. Shinagawa City Hall
    Shinagawa City Hall is the main administrative government building serving Tokyo’s Shinagawa ward, housing its municipal offices and public services.
  • E. Shibuya Mark City
    Shibuya Mark City is a large commercial complex in Tokyo’s Shibuya district, featuring offices, a hotel, and a shopping and dining mall directly connected to Shibuya Station.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0377159f88190a142cd7eed6118c1 completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b16ba6c881908e9a909bf86ea92d completed March 23, 2026, 3:20 a.m.
Created at: March 22, 2026, 3:59 p.m.