Triple

T2749841
Position Surface form Disambiguated ID Type / Status
Subject Bihar E60958 entity
Predicate hasRiver P165 FINISHED
Object Son River E74600 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: Son River | Statement: [Bihar, hasRiver, Son River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Son River
Context triple: [Bihar, hasRiver, Son River]
  • A. Son River chosen
    The Son River is a major river in central and eastern India that flows through states like Madhya Pradesh, Uttar Pradesh, and Bihar before joining the Ganges.
  • B. Sozh River
    The Sozh River is a major Eastern European waterway and tributary of the Dnieper that flows through Russia, Belarus, and northern Ukraine.
  • C. Nevėžis River
    The Nevėžis River is one of Lithuania’s major rivers, flowing through the central part of the country and playing an important role in its regional landscape and settlements.
  • D. Taylor River
    The Taylor River is a mountain river in central Colorado known for its scenic canyon, whitewater recreation, and renowned trout fishing.
  • E. Fen River
    Fen River is a major river in northern China that flows through Shanxi Province and serves as an important tributary of the Yellow River.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb52b1d48190b6ab511cc8834a14 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c17c9e0819088404cd2d81bfe88 completed March 22, 2026, 4:12 a.m.
Created at: March 6, 2026, 9:56 p.m.