Triple

T16891342
Position Surface form Disambiguated ID Type / Status
Subject Bečej E424179 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Town of Bečej E424179 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: Town of Bečej | Statement: [Bečej, hasMunicipalSeat, Town of Bečej]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Bečej
Context triple: [Bečej, hasMunicipalSeat, Town of Bečej]
  • A. Bečej chosen
    Bečej is a town and municipality in northern Serbia, situated in the autonomous province of Vojvodina.
  • B. Novi Bečej
    Novi Bečej is a town in northern Serbia’s Vojvodina region, known for its location on the Tisa River and its agricultural and cultural significance.
  • C. Bečej municipality
    Bečej municipality is a local administrative unit in northern Serbia’s Vojvodina region, centered on the town of Bečej and known for its agricultural economy and position along the Tisa River.
  • D. Bubeneč
    Bubeneč is a residential and diplomatic district in Prague known for its embassies, green spaces, and proximity to Stromovka park.
  • E. Benešov
    Benešov is a town in the Czech Republic known as a local administrative and cultural center southeast of Prague.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc473d4819090cfea374ef5ca49 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2c1eee48190bc906e658d7729a4 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.