Triple

T5458150
Position Surface form Disambiguated ID Type / Status
Subject Sarajevo tram system E122529 entity
Predicate connects P390 FINISHED
Object Ilidža E512944 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: Ilidža | Statement: [Sarajevo tram system, connects, Ilidža]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilidža
Context triple: [Sarajevo tram system, connects, Ilidža]
  • A. Ilidža chosen
    Ilidža is a municipality and popular spa suburb of Sarajevo in Bosnia and Herzegovina, known for its thermal springs, parks, and historical sites.
  • B. Ilijaš
    Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
  • C. Dudinka
    Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
  • D. Ravanica
    Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
  • E. Nidzica
    Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91f1cca48190afa15b8ccfea1f88 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4149c6c081909f57e214dad54777 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:08 p.m.