Triple

T4061073
Position Surface form Disambiguated ID Type / Status
Subject Gilgit E86211 entity
Predicate airportICAO P419 FINISHED
Object OPGT
OPGT is the ICAO airport code for Gilgit Airport, a domestic airport serving the mountainous Gilgit-Baltistan region of northern Pakistan.
E409899 NE FINISHED

How this triple was built (4 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, airportICAO, OPGT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OPGT
Context triple: [Gilgit, airportICAO, OPGT]
  • A. FGP
    FGP is the stock ticker symbol for FirstGroup, a leading UK-based transport operator running bus and rail services in the United Kingdom and North America.
  • B. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • C. OPO
    OPO is the vehicle registration code assigned to the Polish city of Opole.
  • D. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • E. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OPGT
Triple: [Gilgit, airportICAO, OPGT]
Generated description
OPGT is the ICAO airport code for Gilgit Airport, a domestic airport serving the mountainous Gilgit-Baltistan region of northern Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OPGT
Target entity description: OPGT is the ICAO airport code for Gilgit Airport, a domestic airport serving the mountainous Gilgit-Baltistan region of northern Pakistan.
  • A. FGP
    FGP is the stock ticker symbol for FirstGroup, a leading UK-based transport operator running bus and rail services in the United Kingdom and North America.
  • B. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • C. OPO
    OPO is the vehicle registration code assigned to the Polish city of Opole.
  • D. GP
    GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
  • E. GP
    GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
  • F. None of above. chosen

Provenance (5 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_69aed93c69208190a4efac0efe3cd69b completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd4acb0819093bcffcd05ed8e6f completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562ac25848190951431c9c853cc59 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b5633103e081909dbe7a7e54877343 completed March 14, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69b563eca17c81908deff0d361a7be87 completed March 14, 2026, 1:34 p.m.
Created at: March 9, 2026, 3:38 p.m.