Triple

T12957937
Position Surface form Disambiguated ID Type / Status
Subject Shaheed Benazirabad Airport E310064 entity
Predicate icaoCode P419 FINISHED
Object OPNH
OPNH is the ICAO airport code for Shaheed Benazirabad Airport in Pakistan.
 E1013739 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: OPNH | Statement: [Shaheed Benazirabad Airport, icaoCode, OPNH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OPNH
Context triple: [Shaheed Benazirabad Airport, icaoCode, OPNH]
  • A. ONPE
    ONPE is Peru’s autonomous electoral authority responsible for organizing and overseeing national and local elections and referendums.
  • B. OPH
    OPH is an abbreviation commonly used for Old Parliament House, the historic former seat of the Australian Parliament in Canberra.
  • C. OPHL
    OPHL is the abbreviation commonly used for the early 20th-century Ontario Professional Hockey League, a historic professional ice hockey league based in Ontario, Canada.
  • D. OPN2
    OPN2 is a Yamaha FM synthesis sound chip architecture widely used in classic video game consoles and arcade systems for generating rich, distinctive music and sound effects.
  • E. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • 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: OPNH
Triple: [Shaheed Benazirabad Airport, icaoCode, OPNH]
Generated description
OPNH is the ICAO airport code for Shaheed Benazirabad Airport in Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OPNH
Target entity description: OPNH is the ICAO airport code for Shaheed Benazirabad Airport in Pakistan.
  • A. ONPE
    ONPE is Peru’s autonomous electoral authority responsible for organizing and overseeing national and local elections and referendums.
  • B. OPH
    OPH is an abbreviation commonly used for Old Parliament House, the historic former seat of the Australian Parliament in Canberra.
  • C. OPHL
    OPHL is the abbreviation commonly used for the early 20th-century Ontario Professional Hockey League, a historic professional ice hockey league based in Ontario, Canada.
  • D. OPN2
    OPN2 is a Yamaha FM synthesis sound chip architecture widely used in classic video game consoles and arcade systems for generating rich, distinctive music and sound effects.
  • E. O.P.
    O.P. is the post-nominal abbreviation for the Order of Preachers, commonly known as the Dominican religious order in the Catholic Church.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2c5bf481908ca6adcfd3354f71 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8dddd80819094c80ef405024419 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6ba0904e8819098bae29961bf0046 completed May 3, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 5:44 p.m.