Triple

T11746816
Position Surface form Disambiguated ID Type / Status
Subject Seoul–Singapore E279299 entity
Predicate hasPrimaryDestinationCityCode P6013 FINISHED
Object SIN E418863 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: SIN | Statement: [Seoul–Singapore, hasPrimaryDestinationCityCode, SIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SIN
Context triple: [Seoul–Singapore, hasPrimaryDestinationCityCode, SIN]
  • A. SIN chosen
    SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
  • B. Sines
    Sines is a coastal town in Portugal known as the birthplace of the famed explorer Vasco da Gama.
  • C. Sinn
    Sinn is Gottlob Frege’s notion of “sense,” the mode of presentation through which a linguistic expression conveys its reference and cognitive significance.
  • D. Sinn
    Sinn is a river in northern Bavaria, Germany, that flows through the Lower Franconia region.
  • E. SANG
    SANG is the acronym for the Saudi Arabian National Guard, a key military and security force responsible for protecting the Saudi royal family, strategic facilities, and internal stability.
  • 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: hasPrimaryDestinationCityCode
Context triple: [Seoul–Singapore, hasPrimaryDestinationCityCode, SIN]
  • A. hasOriginAirportCity
    Indicates that an entity (such as a flight or trip) departs from or is associated with a specific origin airport located in a given city.
  • B. servedByAirportInOriginCity
    Indicates that the origin city of a trip or route is served by a particular airport.
  • C. previousPrimaryAirportFor
    Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
  • D. hasTargetCity chosen
    Indicates that something is directed toward, intended for, or specifically associated with a particular city as its target.
  • E. hasCityPair
    Indicates a relationship that links two cities considered as a connected or associated pair, often for purposes such as travel, trade, or comparison.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019f5f29c81909d80a9e6127ec6ef completed April 28, 2026, 2:22 a.m.
PD Predicate disambiguation batch_69d88a813cc48190a3dfdc60e8af80ae completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:41 p.m.