Triple

T16705025
Position Surface form Disambiguated ID Type / Status
Subject Temerin E405945 entity
Predicate hasMunicipalSeat P1474 FINISHED
Object Temerin E405945 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: Temerin | Statement: [Temerin, hasMunicipalSeat, Temerin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Temerin
Context triple: [Temerin, hasMunicipalSeat, Temerin]
  • A. Temerin chosen
    Temerin is a town and municipality in the autonomous province of Vojvodina in northern Serbia.
  • B. Grindeanu
    Grindeanu is the surname of Sorin Grindeanu, a Romanian politician who has served as Prime Minister of Romania.
  • C. Torda
    Torda is an alternative historical name for the Romanian city of Turda, known for its rich history and notable salt mine in Transylvania.
  • D. Erdut
    Erdut is a village in eastern Croatia known as the site where the 1995 Erdut Agreement, which facilitated the peaceful reintegration of Eastern Slavonia into Croatia after the Croatian War of Independence, was signed.
  • E. Demerdzhi
    Demerdzhi is a notable mountain massif in Crimea, famous for its striking rock formations and scenic landscapes.
  • 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.