Triple

T4801908
Position Surface form Disambiguated ID Type / Status
Subject PEGASUS network E106853 entity
Predicate name P16 FINISHED
Object PEGASUS network E106853 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 network | Statement: [PEGASUS network, name, PEGASUS network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PEGASUS network
Context triple: [PEGASUS network, name, PEGASUS network]
  • A. PEGASUS network chosen
    The PEGASUS network is a European association of leading universities and institutions dedicated to education and research in aerospace engineering.
  • B. PULSE network
    PULSE network is a major U.S. electronic funds transfer and debit payment network widely used for ATM and point-of-sale transactions.
  • C. Pegasos II
    Pegasos II is a PowerPC-based computer mainboard developed by Genesi that became popular as a hardware platform for alternative operating systems such as AmigaOS and MorphOS.
  • D. Algorand blockchain protocol
    Algorand blockchain protocol is a scalable, secure, and energy-efficient public blockchain platform designed by cryptographer Silvio Micali that uses a pure proof-of-stake consensus mechanism.
  • E. Opal network
    The Opal network is an integrated electronic ticketing system used across public transport services in New South Wales, Australia.
  • 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_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.