Triple

T4801909
Position Surface form Disambiguated ID Type / Status
Subject PEGASUS network E106853 entity
Predicate acronym P43 FINISHED
Object PEGASUS unclear NED1 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: PEGASUS | Statement: [PEGASUS network, acronym, PEGASUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEGASUS
Context triple: [PEGASUS network, acronym, PEGASUS]
  • A. Pegasus
    Pegasus is the NATO reporting name for the Boeing KC-46, a modern aerial refueling and strategic military transport aircraft.
  • B. Pegasus
    Pegasus was a British Royal Navy seaplane carrier that served in the early 20th century, supporting naval aviation operations.
  • C. Pegasus
    Pegasus is the iconic winged horse that serves as the central emblem in TriStar Pictures' film studio logo.
  • D. Pegasus 11
    Pegasus 11 is a later, more powerful variant of the Rolls-Royce Pegasus turbofan engine used to provide vertical/short takeoff and landing capability for aircraft such as the Harrier.
  • E. Pegasus XL
    Pegasus XL is an air-launched, three-stage solid-fuel orbital rocket developed by Orbital Sciences Corporation for placing small satellites into low Earth orbit.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c42113081908824f3608e65cbff completed March 20, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4400103c8190a5417fe75fb50f81 completed March 21, 2026, 7:08 a.m.
Created at: March 20, 2026, 1:23 p.m.