Triple

T10298881
Position Surface form Disambiguated ID Type / Status
Subject Lorestan Province E241570 entity
Predicate hasRiver 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: [Lorestan Province, hasRiver, Dez River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dez River
Context triple: [Lorestan Province, hasRiver, 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. Canje River
    The Canje River is a significant waterway in Guyana known for its role in regional agriculture, transportation, and settlement along the country’s coastal plain.
  • D. Seim River
    The Seim River is a major tributary of the Desna River in Eastern Europe, flowing through parts of Russia and northern Ukraine.
  • E. 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.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ed50908190962f0d6d049fb964 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6e2527570819092314ee0a678e53c completed May 3, 2026, 5:51 a.m.
Created at: April 6, 2026, 11:44 a.m.