Triple

T3949891
Position Surface form Disambiguated ID Type / Status
Subject Ollerton E84838 entity
Predicate hasPart P35 FINISHED
Object New Ollerton E84838 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: New Ollerton | Statement: [Ollerton, hasPart, New Ollerton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Ollerton
Context triple: [Ollerton, hasPart, New Ollerton]
  • A. Ollerton chosen
    Ollerton is a small town in Nottinghamshire, England, situated close to the historic Sherwood Forest associated with the legend of Robin Hood.
  • B. Owerton
    Owerton is an alternative spelling of the name Overton, which is used for various places and surnames in English-speaking regions.
  • C. Cheshunt
    Cheshunt is a town in Hertfordshire, England, situated just north of London and known as a commuter hub with rail links into the capital.
  • D. Loughton
    Loughton is a suburban town in southeast England known for its proximity to Epping Forest and its role as a commuter hub within the London metropolitan area.
  • E. Epping
    Epping is a market town in the Epping Forest district of Essex, England, known for its historic high street and proximity to the ancient Epping Forest.
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef91227a8819097c3a5a206792382 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533a4d3048190b63ad93a6ec87a48 completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:30 p.m.