Triple

T732112
Position Surface form Disambiguated ID Type / Status
Subject Middlesex, England E14852 entity
Predicate containsHistoricSettlement P16159 FINISHED
Object Harrow E56899 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: Harrow | Statement: [Middlesex, England, containsHistoricSettlement, Harrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrow
Context triple: [Middlesex, England, containsHistoricSettlement, Harrow]
  • A. Harrow chosen
    Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
  • B. Sevenoaks
    Sevenoaks is a commuter town in Kent, England, known for its historic market center, surrounding countryside, and proximity to London.
  • C. Isleworth
    Isleworth is a suburban town in West London, England, known for hosting major media and broadcasting facilities.
  • D. Egham
    Egham is a town in the county of Surrey in southeast England, known for its proximity to Runnymede, where Magna Carta was sealed.
  • E. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aa9ba3888190889a1ad554f73c5e completed March 1, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c00751dc8190ad1ac6885341f799 completed March 4, 2026, 5:15 a.m.
Created at: March 1, 2026, 7:37 p.m.