Triple

T11095055
Position Surface form Disambiguated ID Type / Status
Subject TG E262355 entity
Predicate associatedWithAirlineHub P4364 FINISHED
Object Suvarnabhumi Airport E61480 NE FINISHED

How this triple was built (3 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: Suvarnabhumi Airport | Statement: [TG, associatedWithAirlineHub, Suvarnabhumi Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suvarnabhumi Airport
Context triple: [TG, associatedWithAirlineHub, Suvarnabhumi Airport]
  • A. Suvarnabhumi Airport chosen
    Suvarnabhumi Airport is Bangkok’s main international airport and one of Southeast Asia’s busiest aviation hubs.
  • B. Don Mueang International Airport
    Don Mueang International Airport is one of Bangkok’s main airports and a major hub for low-cost carriers serving domestic and regional flights in Thailand and Southeast Asia.
  • C. Wattay International Airport
    Wattay International Airport is the main international gateway to Laos, serving the capital city of Vientiane with regional and limited long-haul flights.
  • D. Hat Yai International Airport
    Hat Yai International Airport is a major international and domestic air gateway serving the city of Hat Yai and the wider southern region of Thailand.
  • E. Bangoka International Airport
    Bangoka International Airport is the main airport serving the city of Kisangani in the Democratic Republic of the Congo, handling both domestic and limited international flights.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithAirlineHub
Context triple: [TG, associatedWithAirlineHub, Suvarnabhumi Airport]
  • A. associatedWithAirportCode
    Indicates that one entity has a relationship or connection to an airport identified by a specific airport code.
  • B. secondaryHubOfAirline
    Indicates that an airport serves as a secondary operational hub for a particular airline, supporting but not replacing its primary hub activities.
  • C. airlineHub chosen
    Indicates that a particular location (typically an airport or city) serves as a central hub or primary operational base for an airline.
  • D. associatedWithFlight
    Indicates a relationship where an entity is linked or connected to a specific flight, such as by participation, operation, or relevance.
  • E. associatedWithAirportName
    Indicates a relationship where an entity is linked or connected to a specific airport by its name.
  • F. None of above.

Provenance (4 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a0783e88190aae3d461730c2d70 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7e0c7e4819098e690ffebbd8e61 completed April 18, 2026, 8:21 p.m.
PD Predicate disambiguation batch_69d7441aa3548190b92dbde57841c135 completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:27 p.m.