Triple

T2247842
Position Surface form Disambiguated ID Type / Status
Subject Holborn, London, England E49547 entity
Predicate hasLandmark P105 FINISHED
Object Royal Courts of Justice E103317 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: Royal Courts of Justice | Statement: [Holborn, London, England, hasLandmark, Royal Courts of Justice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royal Courts of Justice
Context triple: [Holborn, London, England, hasLandmark, Royal Courts of Justice]
  • A. Royal Courts of Justice chosen
    The Royal Courts of Justice is a major court building in London that houses the High Court and Court of Appeal of England and Wales.
  • B. Queen Mary Court
    Queen Mary Court is one of the principal historic Baroque buildings within the Old Royal Naval College complex in Greenwich, London.
  • C. Old Court
    Old Court is a historic quadrangle at Selwyn College, Cambridge, known for its traditional collegiate architecture and central role in college life.
  • D. Old Court
    Old Court is the historic central courtyard of Queens’ College, Cambridge, known for its traditional collegiate architecture and riverside setting.
  • E. Old Court
    Old Court is a historic quadrangle within Corpus Christi College, Cambridge, known for its medieval architecture and central role in the college’s academic and social life.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0ed5c38819080b45ea398fb59f2 completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b1719c481909ec3ff03d2a6f3bd completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.