Triple

T4904474
Position Surface form Disambiguated ID Type / Status
Subject Great Abington E109880 entity
Predicate civilParishIncludes P852 FINISHED
Object Little Abington E206529 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: Little Abington | Statement: [Great Abington, civilParishIncludes, Little Abington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Abington
Context triple: [Great Abington, civilParishIncludes, Little Abington]
  • A. Little Abington chosen
    Little Abington is a small village and civil parish in the South Cambridgeshire district of Cambridgeshire, England.
  • B. Great Abington
    Great Abington is a village in South Cambridgeshire, England, known for hosting the science and business campus Granta Park and its proximity to Cambridge.
  • C. Arborway
    Arborway is a scenic parkway in Boston, Massachusetts, that forms part of the Emerald Necklace and connects urban neighborhoods with major green spaces like the Arnold Arboretum.
  • D. Northwood Hills
    Northwood Hills is a suburban area and local center in the northwest of Greater London, known for its residential character and transport links.
  • E. Abington Park
    Abington Park is a large historic public park in Northampton, England, known for its open green spaces, lakes, museum, and recreational facilities.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e6fdeac81909092f51ae40ad20e completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be779c47348190bd8e19f87c2aa4c2 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:29 p.m.