Triple

T14651855
Position Surface form Disambiguated ID Type / Status
Subject Ludbreg E344007 entity
Predicate locatedNear P294 FINISHED
Object Varaždin E188012 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: Varaždin | Statement: [Ludbreg, locatedNear, Varaždin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Varaždin
Context triple: [Ludbreg, locatedNear, Varaždin]
  • A. Vinkovci
    Vinkovci is a historic town in eastern Croatia, recognized as one of the oldest continuously inhabited settlements in Europe and a key urban center of the Slavonia region.
  • B. Valjevo
    Valjevo is a historic city in western Serbia known for its role in World War I and its position as a regional cultural and economic center.
  • C. Varaždin, Croatia chosen
    Varaždin is a historic city in northern Croatia known for its well-preserved baroque architecture, former status as the country’s capital, and vibrant cultural festivals.
  • D. Prijedor
    Prijedor is a city in northwestern Bosnia and Herzegovina known for its industrial heritage and its significant role and tragic events during the Bosnian War.
  • E. Dravograd
    Dravograd is a small Slovenian town in the Carinthia region, known for its location at the confluence of the Drava and Meža rivers and its historical role as a regional center.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb517e7648190b9fc73d6cdbb68de completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d9ab188190934deb57fd6d9a56 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:27 a.m.