Triple

T18456272
Position Surface form Disambiguated ID Type / Status
Subject Oulu sub-region E450909 entity
Predicate hasMunicipality P847 FINISHED
Object Tyrnävä 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: Tyrnävä | Statement: [Oulu sub-region, hasMunicipality, Tyrnävä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyrnävä
Context triple: [Oulu sub-region, hasMunicipality, Tyrnävä]
  • A. Tyrnävä chosen
    Tyrnävä is a rural municipality in northern Finland known for its agriculture, particularly high-quality potato cultivation.
  • B. Talavan
    Talavan is one of the twelve sacred forests of the Vraja (Vrindavan) region in Hindu tradition, associated with the pastimes of Lord Krishna.
  • C. Tauranum
    Tauranum was an ancient settlement located within the Roman administrative region of Samnium in Italy.
  • D. Tura
    Tura is a prominent town in the Indian state of Meghalaya, serving as a major administrative, cultural, and economic center in the Garo Hills region.
  • E. Tura
    Tura is a district in southern Cairo, Egypt, historically known for its limestone quarries used in ancient Egyptian monuments.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264c10408190b2085ade88655c7d completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.