Triple

T16046380
Position Surface form Disambiguated ID Type / Status
Subject Sveta Gora E389230 entity
Predicate localName P657 FINISHED
Object Sveta Gora E389230 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: Sveta Gora | Statement: [Sveta Gora, localName, Sveta Gora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sveta Gora
Context triple: [Sveta Gora, localName, Sveta Gora]
  • A. Sveta Gora chosen
    Sveta Gora is a prominent pilgrimage hill and religious sanctuary in western Slovenia, known for its historic basilica and panoramic views over the Soča Valley and surrounding Alps.
  • B. Sveta Gora Hill
    Sveta Gora Hill is a prominent elevated area near Veliko Tarnovo, Bulgaria, known for its scenic views and historical and cultural significance.
  • C. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • D. Borča
    Borča is a suburban neighborhood and municipality of Belgrade, Serbia, situated on the left bank of the Danube and known as a rapidly developing residential area.
  • E. Velika Gorica
    Velika Gorica is a town in central Croatia, just south of Zagreb, known as part of the capital’s metropolitan area and an important regional transport hub.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1835dd9a0819087e362cf5770232a completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002d982788819082fcdd8ab5c80513 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 4:56 a.m.