Triple

T10946021
Position Surface form Disambiguated ID Type / Status
Subject Montbéliard E258598 entity
Predicate hasTwinTown P919 FINISHED
Object Koutiala E204522 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: Koutiala | Statement: [Montbéliard, hasTwinTown, Koutiala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koutiala
Context triple: [Montbéliard, hasTwinTown, Koutiala]
  • A. Koutiala chosen
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • B. Kushva
    Kushva is a small industrial city in Russia’s Sverdlovsk Oblast, historically known for its iron ore mining in the Ural Mountains.
  • C. Kazaure
    Kazaure is a prominent town and traditional emirate in northern Nigeria, known as one of the key urban centers of Jigawa State.
  • D. Katchal
    Katchal is a dialect of the Nicobarese language spoken by the indigenous community on Katchal Island in India’s Nicobar Islands.
  • E. Kondura
    Kondura is an Indian film directed by acclaimed filmmaker Shyam Benegal, known for its exploration of social and moral themes within a rural setting.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770e9a89081908979efd1d9e6af66 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c3c885081908edcece772b2e759 completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.