Triple

T989850
Position Surface form Disambiguated ID Type / Status
Subject Wellington College E21363 entity
Predicate hasStrongReputationIn P19903 FINISHED
Object academic achievement 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: academic achievement | Statement: [Wellington College, hasStrongReputationIn, academic achievement]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStrongReputationIn
Context triple: [Wellington College, hasStrongReputationIn, academic achievement]
  • A. reputationBuiltFor chosen
    Indicates that one entity has established or developed a reputation specifically for or in relation to another entity.
  • B. associatedWithReputation
    Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
  • C. hasCredit
    Indicates that an entity possesses or is assigned a credit, such as financial credit, academic credit, or acknowledgment for a contribution.
  • D. reputationWithinLDP
    Indicates that an entity holds a particular reputation or standing within a specified Local Development Plan (LDP) context.
  • E. hasInfluentialStatus
    Indicates that an entity holds a position, role, or condition that gives it significant influence or impact over others or over outcomes.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4aa16f081909dcc7a7ce3fb1b64 completed March 1, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69a4b2adbde48190b07966d0c3179516 completed March 1, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:41 p.m.