Triple

T1815863
Position Surface form Disambiguated ID Type / Status
Subject Hanoi Medical University E40434 entity
Predicate locatedIn P40 FINISHED
Object Dong Da District E224889 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: Dong Da District | Statement: [Hanoi Medical University, locatedIn, Dong Da District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dong Da District
Context triple: [Hanoi Medical University, locatedIn, Dong Da District]
  • A. Dong Da District chosen
    Dong Da District is a central urban district of Hanoi, Vietnam, known for its dense residential areas, historical sites, and role as a major commercial and educational hub of the capital.
  • B. Dongbao District
    Dongbao District is an urban administrative district under the jurisdiction of Jingmen City in Hubei Province, China, serving as the city's central area.
  • C. Dianjun District
    Dianjun District is an urban district of Yichang City in Hubei Province, central China, situated along the Yangtze River and known for its role in the region’s transportation and industry.
  • D. Xialu District
    Xialu District is an urban administrative district of the prefecture-level city of Huangshi in Hubei Province, China.
  • E. Xicheng District
    Xicheng District is a central urban district of Beijing, China, known for its historic sites, government institutions, and cultural landmarks.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f614888190a475f7df627d5f0a completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8367a288190ac4dcd2f06505982 completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:32 p.m.