Triple

T15729120
Position Surface form Disambiguated ID Type / Status
Subject South Morava E381293 entity
Predicate passesNear P416 FINISHED
Object Leskovac E1029210 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: Leskovac | Statement: [South Morava, passesNear, Leskovac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leskovac
Context triple: [South Morava, passesNear, Leskovac]
  • A. Leskovac chosen
    Leskovac is a city in southern Serbia known historically for its textile industry and its popular grilled meat (roštilj) festival.
  • B. Trebević
    Trebević is a prominent mountain overlooking Sarajevo in Bosnia and Herzegovina, known for its scenic views, hiking trails, and remnants of the 1984 Winter Olympics bobsleigh track.
  • C. Kladovo
    Kladovo is a small Serbian town on the right bank of the Danube River, known for its riverside setting, nearby hydroelectric dam, and proximity to the Iron Gates gorge on the border with Romania.
  • D. Mikovice
    Mikovice is a district/locality that forms part of the town of Kralupy nad Vltavou in the Central Bohemian Region of the Czech Republic.
  • E. Obrenovac
    Obrenovac is a suburban municipality of Belgrade in Serbia, known for its industrial facilities and proximity to the Sava River.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb4cc0081909efe330339474017 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00456b590c8190949fd23cb5cec1e8 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 4:46 a.m.