Triple

T2091849
Position Surface form Disambiguated ID Type / Status
Subject Alara Kitan E32687 entity
Predicate registry P86 FINISHED
Object ECV-197 E161196 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: ECV-197 | Statement: [Alara Kitan, registry, ECV-197]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECV-197
Context triple: [Alara Kitan, registry, ECV-197]
  • A. ECV-197 chosen
    ECV-197 is the exploratory Union starship at the center of the science fiction television series "The Orville."
  • B. EIC
    EIC is the common abbreviation for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
  • C. VC-1
    VC-1 is a video compression standard developed by Microsoft and standardized by SMPTE, widely used for high-definition content such as on Blu-ray Discs and HD DVD.
  • D. 190E
    The Mercedes-Benz 190E is a compact executive sedan from the 1980s and early 1990s, renowned for its advanced engineering, build quality, and motorsport-bred performance variants like the 190E 2.3-16 and 2.5-16.
  • E. C-7
    C-7 is a commuter rail line in the Cercanías Madrid network that connects central Madrid with various suburban areas.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba7626d081908c9c0f18942e128d completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2746fb3481909e0b7fdbd4748245 completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:43 p.m.