Triple

T14063222
Position Surface form Disambiguated ID Type / Status
Subject Allama Iqbal International Airport E338396 entity
Predicate hubFor P423 FINISHED
Object airblue E276920 NE FINISHED

How this triple was built (2 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: airblue | Statement: [Allama Iqbal International Airport, hubFor, airblue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: airblue
Context triple: [Allama Iqbal International Airport, hubFor, airblue]
  • A. Airblue chosen
    Airblue is a Pakistani low-cost airline that operates domestic and international flights, with a primary base at Jinnah International Airport in Karachi.
  • B. Airai
    Airai is a state in the Republic of Palau known for hosting the country’s main international airport and serving as a key gateway to the islands.
  • C. L’Air
    L’Air is a celebrated early 20th-century sculpture by Aristide Maillol that exemplifies his serene, classical approach to the female form.
  • D. AIRPHIL
    AIRPHIL is the radio callsign used by PAL Express, a Philippine regional airline affiliated with Philippine Airlines.
  • E. AirSWIFT
    AirSWIFT is a Philippine regional airline known for operating domestic flights that connect Manila to popular island destinations such as El Nido and other tourist hubs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568876308190840361dcaf10bd45 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6673de881909653c7691422b800 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.