Triple

T5222613
Position Surface form Disambiguated ID Type / Status
Subject Kentish ragstone E117906 entity
Predicate quarriedIn P3992 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: [Kentish ragstone, quarriedIn, Allington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allington
Context triple: [Kentish ragstone, quarriedIn, 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 coastal village neighborhood within the town of Hull, Massachusetts, known for its residential seaside setting on Boston’s South Shore.
  • D. 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.
  • E. Nonington
    Nonington is a small rural village and civil parish in Kent, England, known for its historic church and countryside setting.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7abba82881908c030ba55146b8ea completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff852bc81908467a343c5ded404 completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.