Triple

T8516961
Position Surface form Disambiguated ID Type / Status
Subject Bamboo Airways E201595 entity
Predicate focusCity P164 FINISHED
Object Phu Cat Airport E765905 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: Phu Cat Airport | Statement: [Bamboo Airways, focusCity, Phu Cat Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phu Cat Airport
Context triple: [Bamboo Airways, focusCity, Phu Cat Airport]
  • A. Phu Cat Airport chosen
    Phu Cat Airport is a regional civil and military airport serving Quy Nhon and the surrounding Binh Dinh Province in south-central Vietnam.
  • B. Phu Bai International Airport
    Phu Bai International Airport is the main commercial airport serving the city of Huế and the surrounding Thừa Thiên Huế Province in central Vietnam.
  • C. Dien Bien Phu Airport
    Dien Bien Phu Airport is a small regional airport in northwestern Vietnam that serves the city of Dien Bien Phu and connects it to major domestic destinations.
  • D. Buon Ma Thuot Airport
    Buon Ma Thuot Airport is a regional civil airport serving the city of Buôn Ma Thuột and the Central Highlands region of Vietnam.
  • E. Dong Tac Airport
    Dong Tac Airport is a regional civil airport serving Tuy Hòa and the surrounding Phú Yên Province on Vietnam’s south-central coast.
  • 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_69ca8321bb44819081b74df0b710276d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe62550908190af882019d68a904a completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d02f2a6ca88190b3f234447feab6e3 completed April 3, 2026, 9:20 p.m.
Created at: March 30, 2026, 6:15 p.m.