Triple

T17285988
Position Surface form Disambiguated ID Type / Status
Subject Skardu Airport E419655 entity
Predicate servedByAirline P12356 FINISHED
Object AirSial NE ONDG

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: AirSial | Statement: [Skardu Airport, servedByAirline, AirSial]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AirSial
Context triple: [Skardu Airport, servedByAirline, AirSial]
  • A. Pakistan International Airlines
    Pakistan International Airlines is the national flag carrier of Pakistan, operating domestic and international flights across Asia, Europe, and North America.
  • B. Meraj Airlines
    Meraj Airlines is an Iranian passenger airline operating domestic and international flights, with a primary base in Tehran.
  • C. Shaheen Air
    Shaheen Air was a Pakistani private airline that operated domestic and international flights before ceasing operations in 2018.
  • D. FlySafair
    FlySafair is a South African low-cost airline known for operating domestic routes with a focus on affordability and reliability.
  • E. SalamAir
    SalamAir is a low-cost Omani airline based in Muscat that operates regional and international flights across the Middle East, Asia, and beyond.
  • 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: AirSial
Triple: [Skardu Airport, servedByAirline, AirSial]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AirSial
Target entity description: AirSial is a Pakistani airline that operates domestic flights, including services to destinations such as Skardu.
  • A. Pakistan International Airlines
    Pakistan International Airlines is the national flag carrier of Pakistan, operating domestic and international flights across Asia, Europe, and North America.
  • B. Meraj Airlines
    Meraj Airlines is an Iranian passenger airline operating domestic and international flights, with a primary base in Tehran.
  • C. Shaheen Air
    Shaheen Air was a Pakistani private airline that operated domestic and international flights before ceasing operations in 2018.
  • D. FlySafair
    FlySafair is a South African low-cost airline known for operating domestic routes with a focus on affordability and reliability.
  • E. SalamAir
    SalamAir is a low-cost Omani airline based in Muscat that operates regional and international flights across the Middle East, Asia, and beyond.
  • F. None of above. chosen

Provenance (4 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4378024988190aac6aec006f8f7a1 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195488d2c81908ac6c19f54f61796 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01965807cc819088792a88b8a099d3 in_progress May 11, 2026, 8:42 a.m.
Created at: April 10, 2026, 5:40 a.m.