Triple

T16860596
Position Surface form Disambiguated ID Type / Status
Subject Gilgit Airport E409899 entity
Predicate ICAO code P419 FINISHED
Object OPGT E409899 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: OPGT | Statement: [Gilgit Airport, ICAO code, OPGT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OPGT
Context triple: [Gilgit Airport, ICAO code, OPGT]
  • A. OPGT chosen
    OPGT is the ICAO airport code for Gilgit Airport, a domestic airport serving the mountainous Gilgit-Baltistan region of northern Pakistan.
  • B. OPG
    OPG is a major Canadian electricity generation company that produces power primarily in the province of Ontario through a mix of nuclear, hydroelectric, and other energy sources.
  • C. OPGD
    OPGD is the ICAO airport code assigned to Gwadar International Airport in Pakistan.
  • D. OPPT
    OPPT is the U.S. Environmental Protection Agency office responsible for evaluating and managing chemical risks and promoting pollution prevention.
  • E. OPSG
    OPSG is a U.S. federal grant program that provides funding to state, local, and tribal law enforcement agencies to enhance border security and cooperation along international land and water borders.
  • 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_6a00c7a08be48190bd2dbf83205c83ad completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:24 a.m.