Triple

T4229147
Position Surface form Disambiguated ID Type / Status
Subject Mostar E94534 entity
Predicate traversedBy P225 FINISHED
Object Neretva River E158495 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: Neretva River | Statement: [Mostar, traversedBy, Neretva River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neretva River
Context triple: [Mostar, traversedBy, Neretva River]
  • A. Neretva chosen
    Neretva is a major river in the western Balkans, known for its emerald-green waters, deep canyons, and historic bridges such as the Stari Most in Mostar.
  • B. Istra River
    The Istra River is a waterway in the Moscow region of Russia that flows through the town of Istra before joining the Moskva River.
  • C. Sava
    Sava is a major river in Central and Southeastern Europe that flows through countries including Slovenia, Croatia, Bosnia and Herzegovina, and Serbia before joining the Danube.
  • D. Sava
    Sava is a European tire brand known for producing affordable, reliable tires, particularly popular in Central and Eastern Europe.
  • E. Sava
    Sava is the monastic and religious name of Saint Sava, the medieval Serbian prince-turned-monk who became the first Archbishop of the autocephalous Serbian Orthodox Church and a key figure in Serbian religious and cultural history.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e61ccc081909b880baf1d6a0f24 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6134257688190b9fd16079cf8079e completed March 15, 2026, 2:02 a.m.
Created at: March 12, 2026, 11:05 p.m.