Triple

T4994045
Position Surface form Disambiguated ID Type / Status
Subject Opportunity E112200 entity
Predicate computer P730 FINISHED
Object RAD6000 E410461 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: RAD6000 | Statement: [Opportunity, computer, RAD6000]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RAD6000
Context triple: [Opportunity, computer, RAD6000]
  • A. RAD6000 chosen
    RAD6000 is a radiation-hardened microprocessor widely used in spacecraft and other spaceborne systems for its reliability in high-radiation environments.
  • B. RAD750
    RAD750 is a radiation-hardened single-board computer widely used in spacecraft and planetary rovers for its reliability in harsh space environments.
  • C. R68
    The R68 is a class of New York City Subway cars built in the 1980s for the B Division, known for their stainless-steel bodies and use on various lettered lines.
  • D. Regal RPX
    Regal RPX is a premium large-format movie auditorium brand from Regal Cinemas, featuring oversized screens, enhanced sound systems, and upgraded seating for an immersive theater experience.
  • E. Apollo DN10000
    The Apollo DN10000 was a high-performance Unix-based workstation from Apollo Computer, known for its advanced graphics and engineering capabilities in the late 1980s.
  • 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd729e9fb48190a467b6a373a73367 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a30bb988190939e1ca5226e1dd4 completed March 21, 2026, 12:08 p.m.
Created at: March 20, 2026, 1:34 p.m.