Triple

T13614259
Position Surface form Disambiguated ID Type / Status
Subject Shushan E325270 entity
Predicate locatedNear P294 FINISHED
Object Dez 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: Dez River | Statement: [Shushan, locatedNear, Dez River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dez River
Context triple: [Shushan, locatedNear, 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. Delice River
    The Delice River is a significant tributary watercourse in central Turkey that feeds into the Kızılırmak River system.
  • D. 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.
  • E. Seim River
    The Seim River is a major tributary of the Desna River in Eastern Europe, flowing through parts of Russia and northern Ukraine.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0abe1208190a1e0a32dc141d836 completed April 12, 2026, 2:48 p.m.
Created at: April 9, 2026, 9:50 p.m.