Triple

T23255897
Position Surface form Disambiguated ID Type / Status
Subject Second Court, Magdalene College E581867 entity
Predicate hasName P744 FINISHED
Object Second Court NE NERFINISHED

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: Second Court | Statement: [Second Court, Magdalene College, hasName, Second Court]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Second Court
Context triple: [Second Court, Magdalene College, hasName, Second Court]
  • A. Second Court
    Second Court is one of the main historic courtyards of Christ's College, Cambridge, around which several of the college's buildings are arranged.
  • B. Second Court
    Second Court is one of the historic quadrangles of St John’s College, Cambridge, known for its traditional collegiate architecture and central role in college life.
  • C. Second Court
    Second Court is one of the main historic courtyards of Jesus College, Cambridge, around which several of the college’s key buildings are arranged.
  • D. Second Court chosen
    Second Court is one of the main historic quadrangles of Magdalene College, Cambridge, forming part of its traditional collegiate layout.
  • E. Third Court
    Third Court is one of the historic quadrangles of St John’s College, Cambridge, known for its traditional collegiate architecture and role in the daily life of the college.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c4905c819099ca21c6529413ac completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.