Triple

T14760630
Position Surface form Disambiguated ID Type / Status
Subject Parwan Province E346849 entity
Predicate hasAirport P105 FINISHED
Object Bagram Airfield E708309 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: Bagram Airfield | Statement: [Parwan Province, hasAirport, Bagram Airfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagram Airfield
Context triple: [Parwan Province, hasAirport, Bagram Airfield]
  • A. Bagram Airfield chosen
    Bagram Airfield is a major U.S. and NATO military base in Afghanistan that served as a central hub for operations and logistics during the Afghanistan War.
  • B. Kandahar International Airport
    Kandahar International Airport is a major airport in southern Afghanistan that serves both civilian flights and military operations.
  • C. Khost Airport
    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.
  • D. Shindand Air Base
    Shindand Air Base is a major military airfield in western Afghanistan that has served as a key strategic hub for both Afghan and international forces.
  • E. 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.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cefb7c08190bf69b15165f046d0 completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.