Triple

T4916081
Position Surface form Disambiguated ID Type / Status
Subject Squire Christopher Dale E110351 entity
Predicate residence P75 FINISHED
Object Allington E109054 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: Allington | Statement: [Squire Christopher Dale, residence, Allington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allington
Context triple: [Squire Christopher Dale, residence, Allington]
  • A. Allington chosen
    Allington is an English village best known in literature as the rural setting of Anthony Trollope’s novel "The Small House at Allington."
  • B. Allerton
    Allerton is an English surname historically associated with early colonial figures such as Mayflower passenger Isaac Allerton.
  • C. Allerton
    Allerton is a residential neighborhood in the northeast Bronx, New York City, characterized by its diverse community and mix of apartment buildings and one- to two-family homes.
  • D. Nonington
    Nonington is a small rural village and civil parish in Kent, England, known for its historic church and countryside setting.
  • E. Oakington
    Oakington is a village in Cambridgeshire, England, known for its rural character and proximity to the city of Cambridge.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa559608190aa8d02b1547b8f97 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81bfb44481909f67d726dacec37d completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:29 p.m.