Triple

T6531865
Position Surface form Disambiguated ID Type / Status
Subject Khuzestan E152248 entity
Predicate majorRiver P165 FINISHED
Object Dez River E680528 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: Dez River | Statement: [Khuzestan, majorRiver, Dez River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dez River
Context triple: [Khuzestan, majorRiver, Dez River]
  • A. Dez River chosen
    Dez River is a significant river in southwestern Iran that flows through the Khuzestan region and historically supported ancient cities such as Susa.
  • B. Dezadeash River
    Dezadeash River is a waterway in the Yukon that feeds into the larger Alsek River system, flowing through remote, mountainous wilderness.
  • C. Seim River
    The Seim River is a major tributary of the Desna River in Eastern Europe, flowing through parts of Russia and northern Ukraine.
  • D. Yeso River
    The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
  • E. Lotru River
    The Lotru River is a mountain river in Romania that flows through the Southern Carpathians and is known for its hydroelectric developments and scenic valley.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adbcf820819097ca33a5fc14fd64 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98801deb8819092a45193078f09b4 completed April 10, 2026, 11:30 p.m.
Created at: March 27, 2026, 1:46 p.m.