Triple

T11145280
Position Surface form Disambiguated ID Type / Status
Subject Cebu Pacific E263652 entity
Predicate aircraftInFleet P98031 FINISHED
Object Airbus A330-300 E38704 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: Airbus A330-300 | Statement: [Cebu Pacific, aircraftInFleet, Airbus A330-300]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Airbus A330-300
Context triple: [Cebu Pacific, aircraftInFleet, Airbus A330-300]
  • A. Airbus A330 chosen
    The Airbus A330 is a wide-body, twin-engine jet airliner designed for medium- to long-haul routes and widely used by airlines around the world.
  • B. Airbus A340
    The Airbus A340 is a long-range, four-engine wide-body commercial airliner designed for intercontinental passenger flights.
  • C. Airbus A300
    The Airbus A300 is a wide-body twin-engine jet airliner introduced in the 1970s as Airbus’s first commercial aircraft and one of the world’s earliest twin-engine wide-bodies.
  • D. Airbus A321
    The Airbus A321 is a stretched, single-aisle commercial jet airliner widely used for short- to medium-haul passenger flights.
  • E. Airbus A310
    The Airbus A310 is a twin-engine, wide-body jet airliner introduced in the early 1980s as a shorter, more efficient derivative of the Airbus A300 for medium- to long-haul routes.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8634d5481909b114d30a542ea3f completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4421d35f48190a5905fbab39f4015 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.