Triple

T17373450
Position Surface form Disambiguated ID Type / Status
Subject Herzegovina-Neretva Canton E422373 entity
Predicate contains P35 FINISHED
Object Jablanica 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: Jablanica | Statement: [Herzegovina-Neretva Canton, contains, Jablanica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jablanica
Context triple: [Herzegovina-Neretva Canton, contains, Jablanica]
  • A. Jablanica chosen
    Jablanica is a town in Bosnia and Herzegovina known for its location in the Neretva River valley and its historical World War II railway bridge.
  • B. Jablanica
    Jablanica is a river in western Serbia that serves as one of the headwaters forming the Kolubara River.
  • C. Jablanica
    Jablanica is a river in southern Serbia that serves as one of the principal tributaries feeding the South Morava.
  • D. Majdanpek
    Majdanpek is a Serbian mining town known for its large copper deposits and surrounding mountainous, forested landscapes in eastern Serbia.
  • E. Mladenovac
    Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6a9ec881908bfe49413826d37e completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:44 a.m.