Triple

T2579930
Position Surface form Disambiguated ID Type / Status
Subject Tama Cemetery E57064 entity
Predicate region P40 FINISHED
Object Tama area unclear NED1 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: Tama area | Statement: [Tama Cemetery, region, Tama area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tama area
Context triple: [Tama Cemetery, region, Tama area]
  • A. Tama South
    Tama South is a subregion within the city of Tama in Tokyo, Japan, generally referring to its southern residential and commercial districts.
  • B. Tajima region
    The Tajima region is a northern area of Hyōgo Prefecture in Japan, known for its rural landscapes, hot springs, and the origin of the famed Tajima-gyu cattle used for Kobe beef.
  • C. Tama North
    Tama North is a residential suburb within the city of Tama in Tokyo, Japan, known for its planned neighborhoods and proximity to local parks and amenities.
  • D. Tama East
    Tama East is a locality within the broader Tama area, likely a smaller community or district that forms part of the larger region.
  • E. Tama West
    Tama West is a local administrative and residential area within the broader Tama region of western Tokyo, Japan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3a9fd3c8190a521931e40cd801c completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6579bab88190891c23721eaccfc8 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.