Triple

T3109969
Position Surface form Disambiguated ID Type / Status
Subject Shanxi Province E64927 entity
Predicate traversedByRiver P165 FINISHED
Object Fen River E213779 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: Fen River | Statement: [Shanxi Province, traversedByRiver, Fen River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fen River
Context triple: [Shanxi Province, traversedByRiver, Fen River]
  • A. Fen River chosen
    Fen River is a major river in northern China that flows through Shanxi Province and serves as an important tributary of the Yellow River.
  • B. Son River
    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.
  • C. Pur River
    The Pur River is a river in northwestern Siberia, Russia, that flows through the Yamalo-Nenets region before emptying into the Kara Sea in the Arctic Ocean.
  • D. Root River
    Root River is a scenic waterway in southeastern Minnesota known for its trout fishing, canoeing, and the popular Root River State Trail that follows much of its course.
  • E. Sozh River
    The Sozh River is a major Eastern European waterway and tributary of the Dnieper that flows through Russia, Belarus, and northern Ukraine.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada2a0ab2481908db50738ec3ad0fb completed March 8, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfe8ba08f88190a0b10b7a0a05b98c completed March 22, 2026, 1:03 p.m.
Created at: March 8, 2026, 3:04 p.m.