Triple

T1323933
Position Surface form Disambiguated ID Type / Status
Subject Optica (journal) E28282 entity
Predicate associatedOrganization P37 FINISHED
Object Optica E4713 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: Optica | Statement: [Optica (journal), associatedOrganization, Optica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Optica
Context triple: [Optica (journal), associatedOrganization, Optica]
  • A. Optica chosen
    Optica is a leading scientific society dedicated to advancing the study and application of optics and photonics worldwide.
  • B. Opti
    Opti is a friendly, futuristic robot character that served as one of the official mascots of Expo 2020 Dubai.
  • C. Dioptrique
    Dioptrique is a scientific treatise by René Descartes that lays out his pioneering theories on light and optics, including the law of refraction.
  • D. Cooke
    Cooke is a surname of English origin, often considered a variant spelling of "Cook."
  • E. Optica (journal)
    Optica (journal) is a peer-reviewed scientific journal of the Optical Society (Optica) that publishes cutting-edge research in optics and photonics.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19caa148190a1f5be734b7d9005 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad014e33488190b50469c727b32639 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:55 p.m.