Triple

T27082078
Position Surface form Disambiguated ID Type / Status
Subject Countess of Marlborough E685922 entity
Predicate courtAssociation P101392 FINISHED
Object Court of Queen Anne 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: Court of Queen Anne | Statement: [Countess of Marlborough, courtAssociation, Court of Queen Anne]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: courtAssociation
Context triple: [Countess of Marlborough, courtAssociation, Court of Queen Anne]
  • A. courtOfficial
    Indicates that an entity serves in an official capacity within a court, holding an authorized role in judicial or legal proceedings.
  • B. countyAssociation
    Indicates a relationship where an entity is associated with, belongs to, or is administered by a specific county.
  • C. courtConnection chosen
    Indicates a relationship where one entity is linked to another through a legal or judicial proceeding, institution, or decision.
  • D. sportsAssociation
    Indicates a formal relationship in which an entity is affiliated with, governed by, or participates under the auspices of a specific sports organization or governing body.
  • E. sportingAssociation
    Indicates a formal relationship in which an organization serves as a governing, organizing, or affiliating body for sports activities, teams, or events.
  • F. None of above.

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_69ef148940ec819097b5c20fbfbf7c81 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f64dbbaefc8190952b8320bf4397d8 completed May 2, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f64cacd2c08190aed8a1761d0da679 completed May 2, 2026, 7:12 p.m.
Created at: April 27, 2026, 8:35 a.m.