Triple

T18411641
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen OCT Group E441771 entity
Predicate brand P1500 FINISHED
Object OCT NE NERFINISHED

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: OCT | Statement: [Shenzhen OCT Group, brand, OCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OCT
Context triple: [Shenzhen OCT Group, brand, OCT]
  • A. OCT
    OCT is the post-nominal abbreviation used by recipients of the Portuguese honorific title Officer of the Order of Christ.
  • B. OCT chosen
    OCT is a major Chinese state-owned enterprise best known for its large-scale theme parks, tourism resorts, and real estate developments across China.
  • C. OCTAE
    OCTAE is a U.S. Department of Education office that oversees federal programs and policy for career and technical education, adult education, and related workforce development initiatives.
  • D. OCTO
    OCTO is the District of Columbia’s Office of the Chief Technology Officer, the city government agency responsible for managing and advancing DC’s information technology and digital services.
  • E. InSight
    InSight is a NASA Mars lander mission designed to study the planet’s deep interior and seismic activity to better understand the formation and evolution of rocky planets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a24e130819082b92f98d8d5fa3c completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.