Triple

T16632894
Position Surface form Disambiguated ID Type / Status
Subject Syunik Province E404118 entity
Predicate traversedBy P225 FINISHED
Object Voghji 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: Voghji River | Statement: [Syunik Province, traversedBy, Voghji River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voghji River
Context triple: [Syunik Province, traversedBy, Voghji River]
  • A. Voghji River chosen
    The Voghji River is a mountain river in the South Caucasus that flows through southern Armenia and into Azerbaijan, draining the slopes of the Zangezur range.
  • B. Beht River
    The Beht River is a tributary watercourse in north-central Morocco that feeds into the larger Sebou River system.
  • C. Gharasu River
    The Gharasu River is a watercourse in western Iran that flows through Kermanshah Province and contributes to the region’s agricultural and ecological landscape.
  • D. Qabirri River
    The Qabirri River is a significant tributary watercourse within the Kura–Aras river system in the South Caucasus region.
  • E. Abou Ali River
    The Abou Ali River is a coastal river in northern Lebanon that flows through the city of Tripoli and has historically been central to its urban life, trade, and periodic flooding.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e7d4a48190a9b4a14ecbb2a14b completed April 18, 2026, 12:28 p.m.
Created at: April 10, 2026, 5:17 a.m.