Triple

T11741752
Position Surface form Disambiguated ID Type / Status
Subject Tanba Highlands E279171 entity
Predicate partOf P40 FINISHED
Object Tanba region E592854 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: Tanba region | Statement: [Tanba Highlands, partOf, Tanba region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanba region
Context triple: [Tanba Highlands, partOf, Tanba region]
  • A. Tanba Province
    Tanba Province was an old administrative region of Japan located in what is now central Kyoto and Hyōgo Prefectures, historically important as an inland area near Kyoto.
  • B. 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.
  • C. Mamfe region
    The Mamfe region is an area in southwestern Cameroon known for its diverse indigenous communities and the distinct Mamfe languages spoken there.
  • D. Bhamo region
    Bhamo region is an area in northern Myanmar near the Chinese border, historically significant as a strategic transit point and river port along routes such as the World War II-era Ledo Road.
  • E. Kapoeta region
    Kapoeta region is an area in southeastern South Sudan inhabited largely by the Toposa people and known for its pastoralist communities and semi-arid landscape.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f191388190bd6ef7e80c41ca48 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1308339ac8190b579a8c1bee2a2c2 completed April 28, 2026, 10:11 p.m.
Created at: April 8, 2026, 9:41 p.m.