Triple

T15292219
Position Surface form Disambiguated ID Type / Status
Subject Gwadar International Airport E365554 entity
Predicate ICAOCode P419 FINISHED
Object OPGD
OPGD is the ICAO airport code assigned to Gwadar International Airport in Pakistan.
 E1148688 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: OPGD | Statement: [Gwadar International Airport, ICAOCode, OPGD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OPGD
Context triple: [Gwadar International Airport, ICAOCode, OPGD]
  • A. 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.
  • B. 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.
  • C. OPGT
    OPGT is the ICAO airport code for Gilgit Airport, a domestic airport serving the mountainous Gilgit-Baltistan region of northern Pakistan.
  • D. ÖGD
    ÖGD is the commonly used abbreviation for the German public health service, encompassing local and regional health authorities responsible for population health and disease prevention.
  • E. PGPD
    PGPD is the primary law enforcement agency responsible for policing and public safety in Prince George’s County, Maryland.
  • 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: OPGD
Triple: [Gwadar International Airport, ICAOCode, OPGD]
Generated description
OPGD is the ICAO airport code assigned to Gwadar International Airport in Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OPGD
Target entity description: OPGD is the ICAO airport code assigned to Gwadar International Airport in Pakistan.
  • A. 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.
  • B. 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.
  • C. OPGT
    OPGT is the ICAO airport code for Gilgit Airport, a domestic airport serving the mountainous Gilgit-Baltistan region of northern Pakistan.
  • D. ÖGD
    ÖGD is the commonly used abbreviation for the German public health service, encompassing local and regional health authorities responsible for population health and disease prevention.
  • E. PGPD
    PGPD is the primary law enforcement agency responsible for policing and public safety in Prince George’s County, Maryland.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03680b60c8190a3ea54a9d34c8105 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef7f2fc08190937226dad5fdc9c6 completed May 9, 2026, 8:25 a.m.
NEDg Description generation batch_69fef20cdf108190a871a862187b692d completed May 9, 2026, 8:36 a.m.
NED2 Entity disambiguation (via description) batch_69fef2763790819093f76786c5be01df completed May 9, 2026, 8:38 a.m.
Created at: April 10, 2026, 3:15 a.m.