Triple

T25447521
Position Surface form Disambiguated ID Type / Status
Subject Nairobi–Karachi E637676 entity
Predicate terminusAirport1 P99942 FINISHED
Object Nairobi NE NERFINISHED

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: Nairobi | Statement: [Nairobi–Karachi, terminusAirport1, Nairobi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: terminusAirport1
Context triple: [Nairobi–Karachi, terminusAirport1, Nairobi]
  • A. terminusAAirport chosen
    Indicates that an airport serves as the terminal (end) point for a specified air route or service.
  • B. airportStation
    Indicates a location functions as an airport facility where air transport operations occur.
  • C. westTerminalStation
    Indicates that a station serves as the western terminal (end point) of a route, line, or service.
  • D. airportServed
    Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
  • E. terminusCity
    Indicates that a transportation route or service ends or has its final stop in a particular city.
  • F. None of above.

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_69e75db7c5048190b8da9cd7eeedb610 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f60c3b09488190ade1b69ff7f0df0e completed May 2, 2026, 2:37 p.m.
PD Predicate disambiguation batch_69f60b8461ac81908c5bd3d73eed59f4 completed May 2, 2026, 2:34 p.m.
Created at: April 21, 2026, 2:02 p.m.