Triple

T23149991
Position Surface form Disambiguated ID Type / Status
Subject 丹波市 E578295 entity
Predicate isPartOfHistoricalRegion P13711 FINISHED
Object Tamba region 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: Tamba region | Statement: [丹波市, isPartOfHistoricalRegion, Tamba region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tamba region
Context triple: [丹波市, isPartOfHistoricalRegion, Tamba region]
  • A. Tamba region chosen
    The Tamba region is a historical and rural area in central Japan, known for its mountainous landscapes, traditional agriculture, and preserved old towns.
  • B. Mamfe region
    The Mamfe region is an area in southwestern Cameroon known for its diverse indigenous communities and the distinct Mamfe languages spoken there.
  • C. Negombo region
    The Negombo region is a coastal area in western Sri Lanka known for its fishing industry, beaches, and proximity to the country’s main international airport.
  • D. Lindi Region
    Lindi Region is a coastal administrative region in southern Tanzania known for its historical Swahili settlements and Indian Ocean shoreline.
  • E. Hhohho Region
    Hhohho Region is an administrative region in northern Eswatini that includes the national capital, Mbabane, and is known for its mountainous terrain.
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ed0b76c8190ac61b949d88e9970 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4:01 p.m.