Triple

T21301142
Position Surface form Disambiguated ID Type / Status
Subject Butmir E525064 entity
Predicate locatedNear P294 FINISHED
Object Ilidža NE NERFINISHED

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: [Butmir, locatedNear, Ilidža]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilidža
Context triple: [Butmir, locatedNear, 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. Dajla
    Dajla is an alternative name for Dakhla, a coastal city in Western Sahara known for its fishing industry and popular kitesurfing spots.
  • C. 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.
  • D. Fažana
    Fažana is a coastal town in Croatia’s Istria region, known for its fishing heritage, tourism, and historical ties to the Istriot language.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385c078881908a451be1a19a64c5 completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.