Triple

T6869239
Position Surface form Disambiguated ID Type / Status
Subject Neretva E158495 entity
Predicate flowsThrough P225 FINISHED
Object Metković E593348 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: Metković | Statement: [Neretva, flowsThrough, Metković]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metković
Context triple: [Neretva, flowsThrough, Metković]
  • A. Metković chosen
    Metković is a town in southern Croatia near the border with Bosnia and Herzegovina, situated on the Neretva River and known as a regional transport and agricultural center.
  • B. Medaković
    Medaković is a residential neighborhood in Belgrade, Serbia, known for its large apartment blocks and location within the municipality of Voždovac.
  • C. Milutin
    Milutin is a masculine given name of Slavic origin, commonly used in Serbian and other South Slavic cultures.
  • D. Mirko Cvetković
    Mirko Cvetković is a Serbian economist and politician who served as the country's prime minister in the late 2000s and early 2010s.
  • E. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a916a88190b81551731dff2898 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74299ae148190a56c7b1ee8829f40 completed March 28, 2026, 2:53 a.m.
Created at: March 27, 2026, 2:22 p.m.