Triple

T13646564
Position Surface form Disambiguated ID Type / Status
Subject Urawa Station E326116 entity
Predicate nearbyFacility P350 FINISHED
Object Saitama City Hall E887529 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: Saitama City Hall | Statement: [Urawa Station, nearbyFacility, Saitama City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saitama City Hall
Context triple: [Urawa Station, nearbyFacility, Saitama City Hall]
  • A. Saitama City Hall chosen
    Saitama City Hall is the main administrative headquarters of Saitama City, Japan, housing the city’s central government offices and public services.
  • B. Minato City Hall
    Minato City Hall is the main administrative government building serving Tokyo’s Minato ward.
  • C. Hachiōji City Hall
    Hachiōji City Hall is the main municipal government building and administrative center serving the city of Hachiōji in Tokyo, Japan.
  • D. Urayasu City Hall
    Urayasu City Hall is the municipal government building and administrative center responsible for providing public services and local governance for the city of Urayasu in Chiba Prefecture, Japan.
  • E. Hadano City Hall
    Hadano City Hall is the main municipal government building and administrative center serving the city of Hadano in Kanagawa Prefecture, Japan.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6073e888190965456a639839749 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af948408190bca7f2e46863391e completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.