Triple

T11357888
Position Surface form Disambiguated ID Type / Status
Subject Idus River (historical) E269008 entity
Predicate associatedSettlement P8239 FINISHED
Object Idvor E53731 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: Idvor | Statement: [Idus River (historical), associatedSettlement, Idvor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Idvor
Context triple: [Idus River (historical), associatedSettlement, Idvor]
  • A. Idvor chosen
    Idvor is a small village in northern Serbia best known as the birthplace of physicist and inventor Mihajlo (Michael) Pupin.
  • B. Moravice
    Moravice is a river in the northern part of the historical Moravia region of the Czech Republic.
  • C. Ilidža
    Ilidža is a municipality and popular spa suburb of Sarajevo in Bosnia and Herzegovina, known for its thermal springs, parks, and historical sites.
  • D. Chudniv
    Chudniv is a small urban-type settlement in northern Ukraine known for its historical role in regional trade and its location within Zhytomyr Oblast.
  • E. Beloslav
    Beloslav is a small industrial town in northeastern Bulgaria known for its glass production and proximity to the city of Varna.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea419afc8190b3a93141d015ebdf completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b7ee695c8190851ee2adb3e38738 completed April 20, 2026, 5:21 a.m.
Created at: April 8, 2026, 9:33 p.m.