Triple

T10540920
Position Surface form Disambiguated ID Type / Status
Subject Đáy River E248691 entity
Predicate flowsThrough P225 FINISHED
Object Phú Xuyên district E50018 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: Phú Xuyên district | Statement: [Đáy River, flowsThrough, Phú Xuyên district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phú Xuyên district
Context triple: [Đáy River, flowsThrough, Phú Xuyên district]
  • A. Phú Xuyên District chosen
    Phú Xuyên District is a rural administrative district located on the southern outskirts of Hanoi, Vietnam, known for traditional craft villages and agriculture.
  • B. Gia Lâm District
    Gia Lâm District is an administrative district on the eastern outskirts of Hanoi, Vietnam, known for its mix of rapidly urbanizing areas and traditional rural communities.
  • C. Thanh Xuan District
    Thanh Xuan District is an urban district of Hanoi, Vietnam, known for its dense residential areas, universities, and growing commercial development.
  • D. Ứng Hòa District
    Ứng Hòa District is a rural administrative district located in the southern part of Hanoi, Vietnam, known for its agricultural landscape and traditional craft villages.
  • E. Miyun District
    Miyun District is a suburban district in northeastern Beijing, China, known for its scenic reservoirs, mountains, and sections of the Great Wall.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5918648190b16c2d1bc1bf015f completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f08ec96fe88190b791e6f50f39173f completed April 28, 2026, 10:41 a.m.
Created at: April 6, 2026, 12:32 p.m.