Triple

T7816450
Position Surface form Disambiguated ID Type / Status
Subject Phu Quoc International Airport E181017 entity
Predicate cityServed P82 FINISHED
Object Phu Quoc E195430 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 Quoc | Statement: [Phu Quoc International Airport, cityServed, Phu Quoc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phu Quoc
Context triple: [Phu Quoc International Airport, cityServed, Phu Quoc]
  • A. Phu Quoc chosen
    Phu Quoc is a popular Vietnamese island known for its white-sand beaches, tropical forests, and growing resort tourism industry in the Gulf of Thailand.
  • B. Koh Tang
    Koh Tang is a small Cambodian island in the Gulf of Thailand, best known as the site of the final major U.S. military engagement of the Vietnam War during the Mayaguez incident in 1975.
  • C. Paoha Island
    Paoha Island is a large volcanic island in California’s Mono Lake, formed by relatively recent volcanic activity and known for its striking, barren landscape.
  • D. Koh Rong
    Koh Rong is a popular Cambodian island in the Gulf of Thailand known for its white-sand beaches, clear waters, and laid-back resort atmosphere.
  • E. Thanh Da Island
    Thanh Da Island is an urban island in Ho Chi Minh City, Vietnam, known for its riverside scenery, stilt houses, and contrast between rural ambiance and surrounding city 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf96ea6d881908eff5f750e0f6700 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc55e579e081909f5036dd33d64e38 completed March 31, 2026, 11:16 p.m.
Created at: March 30, 2026, 4:39 p.m.