Triple

T11651785
Position Surface form Disambiguated ID Type / Status
Subject Airblue E276920 entity
Predicate IATAcode P418 FINISHED
Object PA
PA is the IATA airline designator assigned to Airblue, a Pakistani low-cost carrier based in Islamabad.
E938993 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: PA | Statement: [Airblue, IATAcode, PA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PA
Context triple: [Airblue, IATAcode, PA]
  • A. PA
    PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
  • B. PA
    The Palestinian Authority is an interim self-governing body established to administer parts of the West Bank and Gaza Strip as part of the Israeli-Palestinian peace process.
  • C. PA
    PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • D. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • E. PA
    PA is the vehicle registration code used for motor vehicles registered in the city and region of Pazardzhik, Bulgaria.
  • 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: PA
Triple: [Airblue, IATAcode, PA]
Generated description
PA is the IATA airline designator assigned to Airblue, a Pakistani low-cost carrier based in Islamabad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: PA
Target entity description: PA is the IATA airline designator assigned to Airblue, a Pakistani low-cost carrier based in Islamabad.
  • A. PA
    PA is the former IATA airline designator for Pan American World Airways, the pioneering and once-dominant U.S. international airline.
  • B. PA
    PA is the standard abbreviation for the Pakistan Army, the principal land warfare branch of Pakistan's armed forces.
  • C. PA
    PA is the vehicle registration code used for motor vehicles registered in the city and region of Pazardzhik, Bulgaria.
  • D. PA
    PA is the standard two-letter U.S. Postal Service abbreviation for the state of Pennsylvania.
  • E. PA
    PA is the provincial code for the Metropolitan City of Palermo in the Sicily region of Italy.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2d01f9c8190849f252f22519550 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee880eccc4819096e2b3305cdb3239 completed April 26, 2026, 9:47 p.m.
NEDg Description generation batch_69eeb314eef0819091a949bbfc820ee9 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee9a79d348190bb3e15f0d37b9d57 completed April 27, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:39 p.m.