Triple

T18950112
Position Surface form Disambiguated ID Type / Status
Subject Alliances for Innovation E463623 entity
Predicate eligibleParticipantsInclude P83633 FINISHED
Object higher education institutions 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: higher education institutions | Statement: [Alliances for Innovation, eligibleParticipantsInclude, higher education institutions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibleParticipantsInclude
Context triple: [Alliances for Innovation, eligibleParticipantsInclude, higher education institutions]
  • A. participationIncludes
    Indicates that a broader participation instance encompasses or contains a more specific participation instance as part of it.
  • B. eligibleFrom
    Indicates that a subject becomes or is considered eligible starting from a specified point in time or condition.
  • C. eligiblePersons chosen
    Indicates that certain persons meet the required conditions or criteria to qualify for a particular status, benefit, or participation.
  • D. eligibleIn
    Indicates that an entity meets the necessary conditions or criteria to qualify for participation, use, or consideration within a specified context, domain, or scope.
  • E. eligibleMembers
    Indicates that certain entities meet the required criteria or conditions to be considered eligible members of a specified group or category.
  • F. None of above.

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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d542b238819089ccd2df279a2f7f completed April 20, 2026, 7:26 a.m.
PD Predicate disambiguation batch_69e4a2efec5c8190840704016bf547a1 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, noon