Triple

T5119128
Position Surface form Disambiguated ID Type / Status
Subject Podolsk E115415 entity
Predicate locatedOnRiver P165 FINISHED
Object Pakhra River E154144 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: Pakhra River | Statement: [Podolsk, locatedOnRiver, Pakhra River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pakhra River
Context triple: [Podolsk, locatedOnRiver, Pakhra River]
  • A. Pakhra River chosen
    The Pakhra River is a tributary waterway in the Moscow region of Russia that feeds into the larger Moskva River system.
  • B. Pahuj River
    The Pahuj River is a tributary of the Yamuna River flowing through the Bundelkhand region of northern India, including the city of Jhansi.
  • C. Sukhona River
    The Sukhona River is a major waterway in northwestern Russia that flows through Vologda Oblast and forms part of the Northern Dvina river system.
  • D. Karha River
    The Karha River is a river in the Indian state of Maharashtra that flows through the Baramati region and supports its agriculture and local communities.
  • E. Nazia River
    The Nazia River is a smaller watercourse in northwestern Russia that serves as a tributary within the Tosna River basin.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd77cf6590819081488b739efae32c completed March 20, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7daed5d188190b499151e636d206d completed March 28, 2026, 1:43 p.m.
Created at: March 20, 2026, 1:42 p.m.