Triple

T2445751
Position Surface form Disambiguated ID Type / Status
Subject Swanley E53388 entity
Predicate hasNeighbouringSettlement P4647 FINISHED
Object Dartford E49251 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: Dartford | Statement: [Swanley, hasNeighbouringSettlement, Dartford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dartford
Context triple: [Swanley, hasNeighbouringSettlement, Dartford]
  • A. Dartford chosen
    Dartford is a historic market and industrial town in southeast England, situated on the River Darent and serving as a key commuter hub for London.
  • B. Sidcup
    Sidcup is a suburban district in southeast London, England, known for its residential character, local colleges, and position within the London Borough of Bexley.
  • C. Maidstone
    Maidstone is a large historic town in southeast England that serves as the administrative and commercial center of the county of Kent.
  • D. Chislehurst
    Chislehurst is a suburban district in southeast London known for its historic commons, caves, and affluent residential character.
  • E. Basildon
    Basildon is a large town in Essex, England, known as a post-war new town and a major commercial and residential centre within the East of England.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abca25a84c8190859bf51000beffec completed March 7, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69b37e3d80d081908bb563323e250978 completed March 13, 2026, 3:02 a.m.
Created at: March 6, 2026, 9:43 p.m.