Triple

T27780730
Position Surface form Disambiguated ID Type / Status
Subject CCIP E699329 entity
Predicate offeredByOrganizationType P181216 FINISHED
Object technology company LITERAL 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: technology company | Statement: [CCIP, offeredByOrganizationType, technology company]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: offeredByOrganizationType
Context triple: [CCIP, offeredByOrganizationType, technology company]
  • A. usedByOrganizationType
    Indicates that something is utilized or employed by organizations of a specified type.
  • B. containsOrganizationType
    Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
  • C. officeredBy
    Indicates that a person or group serves as the officers or commanding staff responsible for leading, managing, or administering another entity (such as an organization, unit, or vessel).
  • D. responsibleOrganizationType
    Indicates the type or category of organization that holds responsibility for a given action, resource, or obligation.
  • E. benefitsOrganizationType
    Indicates that something provides an advantage, support, or positive impact specifically to a particular type or category of organization.
  • F. None of above. chosen

Provenance (4 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_69ef6a4b5a9081909c9111396c2be3d2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f7675b12848190a3569cfda29c5b0e completed May 3, 2026, 3:18 p.m.
PD Predicate disambiguation batch_69f762f4b59481909f70074f11825bfb completed May 3, 2026, 3 p.m.
PDg Predicate description generation batch_69f76759b3c48190ad8f1b33596f98c4 completed May 3, 2026, 3:18 p.m.
Created at: April 27, 2026, 5:09 p.m.