Triple

T10166707
Position Surface form Disambiguated ID Type / Status
Subject College Walk E235221 entity
Predicate adjacentTo P224 FINISHED
Object Kent Hall E237065 NE 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: Kent Hall | Statement: [College Walk, adjacentTo, Kent Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kent Hall
Context triple: [College Walk, adjacentTo, Kent Hall]
  • A. Kent Hall chosen
    Kent Hall is an academic building at Columbia University’s Morningside Heights campus, historically associated with housing language and international studies departments.
  • B. Checker Hall
    Checker Hall is a surviving medieval building that once formed part of the historic Abingdon Abbey complex in Oxfordshire, England.
  • C. Jane Hall
    Jane Hall was the wife of British Royal Navy admiral Sir Edward Codrington, noted for her connection to this prominent naval figure of the early 19th century.
  • D. Jane Hall
    Jane Hall was an actress known for appearing in early 20th-century American silent films.
  • E. Blue Hall
    Blue Hall is the grand main hall of Stockholm City Hall, best known as the venue for the annual Nobel Prize banquet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca84ceafd0819085828600e11bed6b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdec6e016c81909ded2a16b839c405 completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3177ddab48190988c280faf406383 completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:10 p.m.