Triple

T6501508
Position Surface form Disambiguated ID Type / Status
Subject Ercan International Airport E148898 entity
Predicate allInternationalFlightsRouteVia P71243 FINISHED
Object airports in Turkey LITERAL 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: airports in Turkey | Statement: [Ercan International Airport, allInternationalFlightsRouteVia, airports in Turkey]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allInternationalFlightsRouteVia
Context triple: [Ercan International Airport, allInternationalFlightsRouteVia, airports in Turkey]
  • A. flightRoute
    Indicates a path or sequence of locations that a particular flight travels between, typically from its origin to its destination (and possibly via intermediate stops).
  • B. operatesFlightsTo
    Indicates that one entity (typically an airline) runs or provides flight services to the location represented by the other entity.
  • C. numberOfFlights
    Indicates the total count of flights associated with a given entity or within a specified context.
  • D. airlineService
    Indicates that an airline operates transportation services (such as flights) between specified locations or for specified routes.
  • E. majorInternationalRoutesTo
    Indicates that there are significant, globally important transportation routes (such as air, sea, or land corridors) connecting one location to another.
  • F. None of above. chosen

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_69c687e9ad288190bae5bcac9c8ac855 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f386aa08190bfc8592a92ec6339 completed March 27, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69c68ab714908190aa7c2fbf64078e15 completed March 27, 2026, 1:48 p.m.
PDg Predicate description generation batch_69c69f362ee4819090e8fa48caef7d7d completed March 27, 2026, 3:16 p.m.
Created at: March 27, 2026, 1:42 p.m.