Triple

T17373573
Position Surface form Disambiguated ID Type / Status
Subject Old Bazaar Kujundžiluk E422376 entity
Predicate followsAlong P2127 FINISHED
Object Neretva River 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: Neretva River | Statement: [Old Bazaar Kujundžiluk, followsAlong, Neretva River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neretva River
Context triple: [Old Bazaar Kujundžiluk, followsAlong, 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. Crna Rijeka
    Crna Rijeka is a river in Bosnia and Herzegovina that serves as one of the tributaries of the Vrbas River.
  • C. 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.
  • 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 a town and comune in the Province of Taranto in the Apulia region of southern Italy, known for its wine and olive oil production.
  • 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.