Triple

T19435457
Position Surface form Disambiguated ID Type / Status
Subject TimesTen E486214 entity
Predicate supportsInterface P203 FINISHED
Object OCI 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: OCI | Statement: [TimesTen, supportsInterface, OCI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OCI
Context triple: [TimesTen, supportsInterface, OCI]
  • A. OCI
    OCI is Oracle's cloud computing platform that provides infrastructure, platform, and related services for building and running applications in the cloud.
  • B. OCI
    OCI refers to Overseas Citizens of India, a category of foreign nationals of Indian origin who are granted certain long-term residency and travel privileges in India without full citizenship.
  • C. OCI chosen
    OCI (Open Container Initiative) is an open standard for container image formats and runtimes that ensures interoperability and consistency across container tools and platforms.
  • D. OCIA
    OCIA is the acronym for the Office of Congressional and Intergovernmental Affairs, a U.S. government office that manages relations between its parent agency, Congress, and other governmental bodies.
  • E. OCIG
    OCIG is the legal division within the U.S. Department of Health and Human Services Office of Inspector General that provides counsel and enforcement support on fraud, waste, and abuse in HHS programs.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6336001488190a05f372779711ed2 completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:37 p.m.