Triple

T7177421
Position Surface form Disambiguated ID Type / Status
Subject Thai Binh Province E167354 entity
Predicate hasRiver P165 FINISHED
Object Thai Binh River E608350 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: Thai Binh River | Statement: [Thai Binh Province, hasRiver, Thai Binh River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thai Binh River
Context triple: [Thai Binh Province, hasRiver, Thai Binh River]
  • A. Thai Binh River chosen
    The Thai Binh River is a major river in northern Vietnam that, together with the Red River, helps shape the fertile Red River Delta region.
  • B. Dong Nai River
    The Đồng Nai River is a major river in southern Vietnam that flows through several provinces and plays a crucial role in the region’s ecology, agriculture, and hydropower production.
  • C. Thu Bon River
    The Thu Bon River is a major waterway in central Vietnam that has historically supported trade, agriculture, and the cultural life of the ancient port town of Hoi An.
  • D. Lan River
    The Lan River is a tributary waterway in eastern China that forms part of the Qiantang River system.
  • E. Namoi River
    The Namoi River is a major inland river in New South Wales, Australia, flowing through rich agricultural regions before joining the Barwon–Darling river system.
  • 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_69c68889a2748190a316c5e65360361a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e89022d48190a112c24df79ab62f completed March 27, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8275b07d08190a796f2b9884fcc33 completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 2:49 p.m.