Triple

T5852711
Position Surface form Disambiguated ID Type / Status
Subject M27 motorway E130073 entity
Predicate passesNear P416 FINISHED
Object Totton E393186 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: Totton | Statement: [M27 motorway, passesNear, Totton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Totton
Context triple: [M27 motorway, passesNear, Totton]
  • A. Totton chosen
    Totton is a town in Hampshire, England, situated near the River Test on the outskirts of the New Forest and close to the city of Southampton.
  • B. Tormarton
    Tormarton is a small rural village and civil parish in South Gloucestershire, England, near the Cotswolds and close to the M4 motorway.
  • C. Tealby
    Tealby is a picturesque rural village in eastern England, known for its traditional stone cottages and scenic setting within the Lincolnshire countryside.
  • D. Thrupp
    Thrupp is a small canal-side village in Oxfordshire, England, known for its historic wharf and picturesque setting along the Oxford Canal.
  • E. Chaldicotes
    Chaldicotes is a fictional country estate in Anthony Trollope’s Barsetshire novels, notably associated with the character Mr. Sowerby.
  • 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_69c0084de39081909eb34e6bed74215a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0355038008190bf38980349b533e2 completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e369ce248190af33d7c09ee10af6 completed March 23, 2026, 6:53 a.m.
Created at: March 22, 2026, 3:55 p.m.