Triple

T8899079
Position Surface form Disambiguated ID Type / Status
Subject South Oxhey E211878 entity
Predicate hasBusServicesTo P3791 FINISHED
Object Northwood E301829 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: Northwood | Statement: [South Oxhey, hasBusServicesTo, Northwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northwood
Context triple: [South Oxhey, hasBusServicesTo, Northwood]
  • A. Northwood
    Northwood is a small rural city located in Grand Forks County in northeastern North Dakota, United States.
  • B. Northwood chosen
    Northwood is a suburban London Underground station in the London Borough of Hillingdon, providing commuter rail services on the Metropolitan line.
  • C. Northwood
    Northwood is a master-planned residential village in Irvine, California, known for its suburban neighborhoods, parks, and family-oriented community design.
  • D. Northwood
    Northwood is a village on the Isle of Wight in England, situated just inland from the port town of Cowes.
  • E. Northwood Hills
    Northwood Hills is a suburban area and local center in the northwest of Greater London, known for its residential character and transport links.
  • 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc642618908190b3df50cbbabff93d completed April 1, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1cb724c8190bc080d2a7f751e60 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:54 p.m.