Triple

T12536613
Position Surface form Disambiguated ID Type / Status
Subject Brantham E299706 entity
Predicate locatedOpposite P3232 FINISHED
Object Lawford E656597 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: Lawford | Statement: [Brantham, locatedOpposite, Lawford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawford
Context triple: [Brantham, locatedOpposite, Lawford]
  • A. Lawford
    Lawford is an English-origin surname most notably associated with actor Peter Lawford and, by marriage, the Kennedy political family.
  • B. Lawford chosen
    Lawford is a village in Essex, England, situated within the scenic Dedham Vale Area of Outstanding Natural Beauty.
  • C. Marford
    Marford is a village in Wrexham County Borough, Wales, known for its distinctive Gothic-style architecture and historic character.
  • D. Radford
    Radford is a masculine given name of English origin that has been used both as a first name and surname.
  • E. Ashford
    Ashford is a small rural town in northern New South Wales, Australia, known for agriculture and its proximity to natural attractions such as caves and rivers.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557a95d48190ac588807544f060f completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.