Triple

T1514577
Position Surface form Disambiguated ID Type / Status
Subject Princeton, New Jersey Colony E32089 entity
Predicate educationalInfluence P10669 FINISHED
Object influential in training colonial clergy and leaders 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: influential in training colonial clergy and leaders | Statement: [Princeton, New Jersey Colony, educationalInfluence, influential in training colonial clergy and leaders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationalInfluence
Context triple: [Princeton, New Jersey Colony, educationalInfluence, influential in training colonial clergy and leaders]
  • A. educationalImpact chosen
    Indicates the effect or influence that one entity has on the learning, knowledge, or educational outcomes of another.
  • B. educationalFocus
    Indicates the primary subject area or theme that an educational activity, program, or resource is centered on.
  • C. educates
    Indicates that one entity provides instruction, knowledge, or training to another entity.
  • D. educationRight
    Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
  • E. educatedIn
    Indicates that an entity received education or formal training at a specified institution or place.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9396e16408190b5e7b0ac43376d81 completed March 5, 2026, 8:06 a.m.
PD Predicate disambiguation batch_69a907aa67cc81909f00135365447399 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.