Triple

T14739436
Position Surface form Disambiguated ID Type / Status
Subject African Express Airways E346302 entity
Predicate callsign P1565 FINISHED
Object EXPRESS JET E498552 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: EXPRESS JET | Statement: [African Express Airways, callsign, EXPRESS JET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EXPRESS JET
Context triple: [African Express Airways, callsign, EXPRESS JET]
  • A. Virgin Express
    Virgin Express was a Belgian low-cost airline that operated primarily from Brussels in the 1990s and early 2000s before being merged into Brussels Airlines.
  • B. Sky Express
    Sky Express is a Greek regional airline that operates domestic flights connecting numerous islands and mainland cities within Greece.
  • C. United Express
    United Express is the regional brand for United Airlines, operating shorter-haul feeder flights to connect passengers to United’s mainline network.
  • D. Airphil Express
    Airphil Express was a Philippine low-cost airline that operated domestic and regional flights before being rebranded as PAL Express, a subsidiary of Philippine Airlines.
  • E. ExpressJet Airlines chosen
    ExpressJet Airlines was a U.S.-based regional airline that primarily operated feeder flights for major carriers under various brand agreements before ceasing operations.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7345680819093e901233a064e48 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb91fdf88190bdcc9a93289f6b7f completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.