Triple

T5428
Position Surface form Disambiguated ID Type / Status
Subject Harvard Library E106 entity
Predicate hasMission P68 FINISHED
Object to support teaching, learning, and research at Harvard University 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: to support teaching, learning, and research at Harvard University | Statement: [Harvard Library, hasMission, to support teaching, learning, and research at Harvard University]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMission
Context triple: [Harvard Library, hasMission, to support teaching, learning, and research at Harvard University]
  • A. mission chosen
    Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
  • B. hasLimitation
    Indicates that an entity is subject to a constraint, restriction, or boundary that limits its scope, capability, or applicability.
  • C. hasPart
    Indicates that one entity is a component, segment, or constituent part of another entity.
  • D. hasRepresentationIn
    Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
  • E. hasMilitaryBranch
    Indicates that an entity is associated with, served in, or is part of a specific branch of a military organization.
  • 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_69a238d6b47881909e68288aed2fd858 completed Feb. 28, 2026, 12:37 a.m.
NER Named-entity recognition batch_69a23c24b3d08190a714126292fd5479 completed Feb. 28, 2026, 12:51 a.m.
PD Predicate disambiguation batch_69a23998af288190855f0456740cbd51 completed Feb. 28, 2026, 12:40 a.m.
Created at: Feb. 28, 2026, 12:40 a.m.