Triple

T16705156
Position Surface form Disambiguated ID Type / Status
Subject Beočin E405948 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object town of Beočin E405948 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 Beočin | Statement: [Beočin, hasMunicipalSeat, town of Beočin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Beočin
Context triple: [Beočin, hasMunicipalSeat, town of Beočin]
  • A. Beočin chosen
    Beočin is a town and municipality in northern Serbia, situated on the slopes of Fruška Gora along the Danube River and known for its cement industry and nearby monasteries.
  • B. town of Śrem
    The town of Śrem is an urban center in west-central Poland, known for its historical architecture and role as the administrative and economic hub of the surrounding area.
  • C. Novi Grad
    Novi Grad is the fictional capital city of the Eastern European nation Sokovia in the Marvel Cinematic Universe.
  • D. Boljevac
    Boljevac is a small town and municipality in eastern Serbia known for its rural surroundings and proximity to the Carpatho-Balkan mountain range.
  • E. town of Popovača
    The town of Popovača is a small Croatian municipality known for its rural character, vineyards, and proximity to the Lonjsko Polje Nature Park.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383355f908190be467a12079b3d6f completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a36a5c8190a1486fcf11995b7c completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.