Triple

T7014270
Position Surface form Disambiguated ID Type / Status
Subject Shimen Reservoir E162660 entity
Predicate river P165 FINISHED
Object Dahan River E525592 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: Dahan River | Statement: [Shimen Reservoir, river, Dahan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dahan River
Context triple: [Shimen Reservoir, river, Dahan River]
  • A. Dahan River chosen
    The Dahan River is a major river in northern Taiwan that flows through Taoyuan and New Taipei City, playing a key role in regional water supply, agriculture, and flood control.
  • B. Adhaim River
    The Adhaim River is a significant river in Iraq that flows through the northeastern part of the country before joining the Tigris.
  • C. Natanebi River
    The Natanebi River is a waterway in western Georgia that flows through the Guria region, including the area around the town of Ozurgeti, before emptying into the Black Sea.
  • D. Hasbani River
    The Hasbani River is a major tributary of the upper Jordan River, originating in Lebanon and flowing southward toward Israel.
  • E. Shashe River
    The Shashe River is a significant watercourse in southern Africa that flows through Botswana and Zimbabwe before joining the Limpopo 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d31edc8190931655616d0739d1 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc931ce9b081908a58fb3a54492e60 completed April 1, 2026, 3:38 a.m.
Created at: March 27, 2026, 2:34 p.m.