Triple

T13095822
Position Surface form Disambiguated ID Type / Status
Subject Khost Province E310581 entity
Predicate hasAirport P105 FINISHED
Object Khost Airport E900147 NE 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: Khost Airport | Statement: [Khost Province, hasAirport, Khost Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khost Airport
Context triple: [Khost Province, hasAirport, Khost Airport]
  • A. Khost Airport chosen
    Khost Airport is a regional airport in Khost Province, Afghanistan, serving as a key hub for domestic air travel and connectivity in the southeastern part of the country.
  • B. Jalalabad Airport
    Jalalabad Airport is a regional airport in eastern Afghanistan that serves the city of Jalalabad and surrounding areas for both civilian and military aviation.
  • C. Bamyan Airport
    Bamyan Airport is a small regional airfield in central Afghanistan that serves the city of Bamyan and provides access to the surrounding mountainous province.
  • D. Kandahar International Airport
    Kandahar International Airport is a major airport in southern Afghanistan that serves both civilian flights and military operations.
  • E. Skardu International Airport
    Skardu International Airport is a key airport in Gilgit-Baltistan, Pakistan, serving as the main air gateway for tourists and locals traveling to the mountainous Skardu region and nearby Karakoram and Himalayan ranges.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d9814e88a0819088418c792ce7aa57 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ead8f3a881909a32afc268e3b385 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:03 p.m.