Triple

T2301432
Position Surface form Disambiguated ID Type / Status
Subject Tanum E51740 entity
Predicate administrativeCenter P1474 FINISHED
Object Tanumshede E51740 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: Tanumshede | Statement: [Tanum, administrativeCenter, Tanumshede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanumshede
Context triple: [Tanum, administrativeCenter, Tanumshede]
  • A. Tanum chosen
    Tanum is a municipality in western Sweden’s Västra Götaland County, known for its UNESCO-listed Bronze Age rock carvings at Tanum World Heritage Site.
  • B. Timaná
    Timaná is a municipality and town in southern Colombia known for its colonial heritage and agricultural economy within the Andean region.
  • C. Yamaloka
    Yamaloka is the mythological realm of the dead in Hindu and Buddhist cosmology, presided over by the god Yama, where souls undergo judgment after death.
  • D. Numata
    Numata is a city in Gunma Prefecture, Japan, known as a gateway to the Mount Akagi and Oze National Park areas.
  • E. Yomut
    Yomut is a major Turkmen tribal group historically known for its semi-nomadic lifestyle, distinctive weaving traditions, and significant role in the cultural and political history of Turkmenistan and surrounding regions.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5ef51948190ae828d8ee02feb75 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f31356c81909c563d88d472e05f completed March 9, 2026, 8:05 a.m.
Created at: March 4, 2026, 7:49 p.m.