Triple

T18763582
Position Surface form Disambiguated ID Type / Status
Subject Fussa E458836 entity
Predicate partOf P40 FINISHED
Object Tama area NE NERFINISHED

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: Tama area | Statement: [Fussa, partOf, Tama area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tama area
Context triple: [Fussa, partOf, Tama area]
  • A. Tama area chosen
    The Tama area is a suburban region in western Tokyo known for its residential communities, universities, and green spaces, forming a major part of the Tokyo metropolitan area outside the central 23 wards.
  • B. Tama region
    The Tama region is a largely suburban and semi-rural area in western Tokyo Metropolis, known for its residential communities, parks, and natural landscapes.
  • C. Tenma area
    Tenma area is a lively Osaka neighborhood known for its traditional shopping arcades, bustling markets, and numerous casual eateries and bars.
  • D. Tenshiba area
    Tenshiba area is a lively, family-friendly outdoor zone at the entrance of Tennoji Park in Osaka, featuring lawns, cafes, shops, and event spaces.
  • E. Makishi area
    The Makishi area is a lively district in Naha, Okinawa, known for its traditional markets, local eateries, and shops that showcase Okinawan culture and crafts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d80a954819083946dafc0c7af05 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.