Triple

T9167135
Position Surface form Disambiguated ID Type / Status
Subject St Birinus School E219987 entity
Predicate hasSpecialistStatus P86879 FINISHED
Object mathematics and computing college — 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: mathematics and computing college | Statement: [St Birinus School, hasSpecialistStatus, mathematics and computing college]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpecialistStatus
Context triple: [St Birinus School, hasSpecialistStatus, mathematics and computing college]
  • A. hasSpecialist
    Indicates that one entity is associated with or assigned to a specialist entity that provides expert support, service, or oversight for it.
  • B. hasSpecialty
    Indicates that an entity possesses a particular area of expertise, focus, or professional specialization.
  • C. hasProfessionalStatus
    Indicates that an entity holds a particular professional standing, rank, or qualification within a field or occupation.
  • D. hasSpecial
    Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
  • E. hadSpecialStatusIn
    Indicates that an entity possessed a particular special, exceptional, or non-standard status within a specified context or time period.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaade47cc81909b5c127dc8aa1340 completed April 1, 2026, 5:19 a.m.
PD Predicate disambiguation batch_69cc6605c6808190a30d92da006206ac completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc668ad3d881908a8a93a6a1d553e4 completed April 1, 2026, 12:27 a.m.
Created at: March 30, 2026, 7:22 p.m.