Triple

T8392850
Position Surface form Disambiguated ID Type / Status
Subject Tama West E197983 entity
Predicate locatedIn P40 FINISHED
Object Tama region E726305 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 region | Statement: [Tama West, locatedIn, Tama region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tama region
Context triple: [Tama West, locatedIn, Tama region]
  • A. Tama region chosen
    The Tama region is a largely suburban and semi-rural area in western Tokyo Metropolis, known for its residential communities, parks, and natural landscapes.
  • 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. Geita Region
    Geita Region is an administrative region in northwestern Tanzania, known for its significant gold mining activities and proximity to Lake Victoria.
  • D. Hokusetsu region
    The Hokusetsu region is an area in northern Osaka Prefecture, Japan, known for its suburban cities and natural landscapes centered around the Hokusetsu Mountains.
  • E. Akamina–Kishinena region
    The Akamina–Kishinena region is a remote, mountainous wilderness area in the Canadian Rockies known for its rich biodiversity, intact ecosystems, and role as a critical wildlife corridor within the Crown of the Continent.
  • 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_69ca82f816bc8190ab321c07d72208c1 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8184788081909e9857afff629985 completed March 31, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde856a6548190b46e0d8e5cda381b completed April 2, 2026, 3:53 a.m.
Created at: March 30, 2026, 6:03 p.m.