Triple

T15924876
Position Surface form Disambiguated ID Type / Status
Subject Reçak E386181 entity
Predicate hasAlternateName P39 FINISHED
Object Račak E386175 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: Račak | Statement: [Reçak, hasAlternateName, Račak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Račak
Context triple: [Reçak, hasAlternateName, Račak]
  • A. Račak chosen
    Račak is a village in Kosovo best known internationally as the site of the 1999 Račak massacre, a pivotal event in the Kosovo conflict.
  • B. Vranje
    Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
  • C. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • D. Šavnik
    Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
  • E. Rakovica
    Rakovica is a village and municipality in central Croatia known for its natural surroundings and proximity to the Plitvice Lakes area.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1568424f08190bffe6ee465a0db9a completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7055a48190b0f426f3e3c22f9d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:52 a.m.