Triple

T22525152
Position Surface form Disambiguated ID Type / Status
Subject Debden Green E556879 entity
Predicate nearbyVillage P4647 FINISHED
Object Debden NE NERFINISHED

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: Debden | Statement: [Debden Green, nearbyVillage, Debden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debden
Context triple: [Debden Green, nearbyVillage, Debden]
  • A. Debden chosen
    Debden is a small rural village and civil parish in the Uttlesford district of Essex, England.
  • B. Debden Green
    Debden Green is a small rural settlement in Essex, England, situated near the former Royal Air Force station RAF Debden.
  • C. Brimsdown
    Brimsdown is a suburban area in the London Borough of Enfield, known for its railway station on the line between London Liverpool Street and Hertford East and its mix of residential and industrial zones.
  • D. Epping
    Epping is a suburb in Melbourne, Australia, known for its residential communities, shopping facilities, and role as a transport hub in the city's northern corridor.
  • E. Epping
    Epping is a small commune in northeastern France, located in the Moselle department near the German border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e356b4081909d1ce911bd35fe68 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:51 p.m.