Triple

T14851360
Position Surface form Disambiguated ID Type / Status
Subject Police E349234 entity
Predicate collaboratesWith P37 FINISHED
Object Courts E532806 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: Courts | Statement: [Police, collaboratesWith, Courts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courts
Context triple: [Police, collaboratesWith, Courts]
  • A. Courts of Justice chosen
    The Courts of Justice are Ireland’s independent judicial system responsible for interpreting and applying the law, resolving disputes, and upholding constitutional rights.
  • B. Court
    Court is a critically acclaimed Marathi-language courtroom drama film that explores the injustices and bureaucratic absurdities of the Indian legal system.
  • C. Court
    Court is a common English surname of Norman origin, often associated with families historically linked to manorial courts or residences.
  • D. Social Courts
    Social Courts are specialized Spanish judicial bodies that handle labor, employment, and social security disputes.
  • E. Law Court
    Law Court is the common name for the Maine Supreme Judicial Court, the highest appellate court in the state of Maine.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded441e70881909bbf62b66d932aff completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6504ac6081908074231cf628fd39 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:54 a.m.