Triple

T3225862
Position Surface form Disambiguated ID Type / Status
Subject Namba City E67619 entity
Predicate partOf P40 FINISHED
Object Namba district E162524 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: Namba district | Statement: [Namba City, partOf, Namba district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namba district
Context triple: [Namba City, partOf, Namba district]
  • A. Namba district chosen
    Namba district is a major entertainment and shopping area in Osaka, Japan, known for its neon lights, bustling nightlife, and iconic landmarks.
  • B. Soraku District
    Soraku District is a rural administrative district located in the southern part of Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
  • C. Tsuzuki District
    Tsuzuki District is a former administrative district that once existed within Kyoto Prefecture in Japan.
  • D. Kuse District
    Kuse District is a rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
  • E. Ominato District
    Ominato District is a regional command of the Japan Maritime Self-Defense Force responsible for naval operations and defense in the northern waters of 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_69ad858c61888190a31196310d9b30b5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaeb4cd3481908af8a2c9b6c0742d completed March 8, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a65d2988190a053eb2f22503f83 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:08 p.m.