Triple

T16860564
Position Surface form Disambiguated ID Type / Status
Subject GIL E409898 entity
Predicate refersTo P37 FINISHED
Object Gilgit Airport E409897 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: Gilgit Airport | Statement: [GIL, refersTo, Gilgit Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilgit Airport
Context triple: [GIL, refersTo, Gilgit Airport]
  • A. Gilgit Airport chosen
    Gilgit Airport is a small domestic airport in Gilgit, Pakistan, serving as a key air gateway to the mountainous Gilgit-Baltistan region and the Karakoram range.
  • B. 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.
  • C. Bannu Airport
    Bannu Airport is a domestic airport serving the city of Bannu in Khyber Pakhtunkhwa, Pakistan.
  • D. Humera Airport
    Humera Airport is a regional airport in northwestern Ethiopia that serves the town of Humera and its surrounding area.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b502bc048190baa5a83015407080 completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb274ba48190951acde0821e05a0 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.