Triple

T9622674
Position Surface form Disambiguated ID Type / Status
Subject Gia Lâm Airport E232381 entity
Predicate serves P98 FINISHED
Object Gia Lâm District E43792 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: Gia Lâm District | Statement: [Gia Lâm Airport, serves, Gia Lâm District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gia Lâm District
Context triple: [Gia Lâm Airport, serves, Gia Lâm District]
  • A. Gia Lâm District chosen
    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.
  • B. Thanh Xuan District
    Thanh Xuan District is an urban district of Hanoi, Vietnam, known for its dense residential areas, universities, and growing commercial development.
  • C. 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.
  • D. Phú Xuyên District
    Phú Xuyên District is a rural administrative district located on the southern outskirts of Hanoi, Vietnam, known for traditional craft villages and agriculture.
  • E. Hoàng Mai District
    Hoàng Mai District is an urban district of Hanoi, Vietnam, known as one of the city’s most populous and rapidly developing residential and commercial areas.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad650a4819096258665bc3f410b completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e23aeb6f9c8190a986af35bcf353f7 completed April 17, 2026, 1:51 p.m.
Created at: March 30, 2026, 8:10 p.m.