Triple

T11106902
Position Surface form Disambiguated ID Type / Status
Subject Quảng An Ward E262653 entity
Predicate locatedIn P40 FINISHED
Object Tây Hồ District E47641 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: Tây Hồ District | Statement: [Quảng An Ward, locatedIn, Tây Hồ District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tây Hồ District
Context triple: [Quảng An Ward, locatedIn, Tây Hồ District]
  • A. Tây Hồ District chosen
    Tây Hồ District is an urban district of Hanoi, Vietnam, known for encompassing much of West Lake and serving as a scenic, upscale residential and cultural area of the capital.
  • B. Yonghe District
    Yonghe District is a densely populated urban district in northern Taiwan known for its residential neighborhoods and proximity to central Taipei.
  • 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. Fengtai District
    Fengtai District is an urban district in southwestern Beijing, China, known for its mix of residential, industrial, and historical areas, including the site of the Marco Polo Bridge.
  • E. Gongjing District
    Gongjing District is an urban administrative district within the city of Zigong in Sichuan Province, China, known for its role in the region’s industrial and urban development.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6546d4819092187e9c12a30ed5 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496a593c4819090d295119ce50e48 completed April 19, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:27 p.m.