Triple

T17477525
Position Surface form Disambiguated ID Type / Status
Subject Quy Nhơn E425576 entity
Predicate hasAirport P105 FINISHED
Object Phù Cát Airport
Phù Cát Airport is a regional airport in Bình Định Province, Vietnam, serving the coastal city of Quy Nhơn and the surrounding area.
E1272280 NE FINISHED

How this triple was built (4 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: Phù Cát Airport | Statement: [Quy Nhơn, hasAirport, Phù Cát Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phù Cát Airport
Context triple: [Quy Nhơn, hasAirport, Phù Cát Airport]
  • A. Palam Airport
    Palam Airport is the former name and original airfield of Delhi’s main international airport, now known as Indira Gandhi International Airport.
  • B. Diffa Airport
    Diffa Airport is a small public airport serving the town and surrounding region of Diffa in southeastern Niger.
  • C. Tari Airport
    Tari Airport is a regional airfield serving the town of Tari and surrounding areas in Hela Province, Papua New Guinea.
  • D. Tambolaka Airport
    Tambolaka Airport is a regional airport serving the western part of Sumba Island in East Nusa Tenggara, Indonesia, providing domestic connections to major Indonesian cities.
  • E. Naypyidaw International Airport
    Naypyidaw International Airport is the main commercial airport serving Myanmar’s capital, designed to handle international and domestic flights with modern terminal facilities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Phù Cát Airport
Triple: [Quy Nhơn, hasAirport, Phù Cát Airport]
Generated description
Phù Cát Airport is a regional airport in Bình Định Province, Vietnam, serving the coastal city of Quy Nhơn and the surrounding area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Phù Cát Airport
Target entity description: Phù Cát Airport is a regional airport in Bình Định Province, Vietnam, serving the coastal city of Quy Nhơn and the surrounding area.
  • A. Palam Airport
    Palam Airport is the former name and original airfield of Delhi’s main international airport, now known as Indira Gandhi International Airport.
  • B. Diffa Airport
    Diffa Airport is a small public airport serving the town and surrounding region of Diffa in southeastern Niger.
  • C. Tari Airport
    Tari Airport is a regional airfield serving the town of Tari and surrounding areas in Hela Province, Papua New Guinea.
  • D. Tambolaka Airport
    Tambolaka Airport is a regional airport serving the western part of Sumba Island in East Nusa Tenggara, Indonesia, providing domestic connections to major Indonesian cities.
  • E. Naypyidaw International Airport
    Naypyidaw International Airport is the main commercial airport serving Myanmar’s capital, designed to handle international and domestic flights with modern terminal facilities.
  • F. None of above. chosen

Provenance (5 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451bd865081909b5f84405c40ff14 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c1f896e4819082bff944b80e76cd completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c3a2393c81909b2137d94d522ca7 completed May 11, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_6a01c459b2b48190ba00d53c4477f54e completed May 11, 2026, 11:58 a.m.
Created at: April 10, 2026, 5:47 a.m.