Triple

T20180724
Position Surface form Disambiguated ID Type / Status
Subject A39 E492718 entity
Predicate connectsTown P845 FINISHED
Object Lynton 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: Lynton | Statement: [A39, connectsTown, Lynton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lynton
Context triple: [A39, connectsTown, Lynton]
  • A. Lynton chosen
    Lynton is a small coastal town in North Devon, England, known for its dramatic cliffside setting above Lynmouth and its Victorian-era cliff railway.
  • B. Linnton
    Linnton is a riverside neighborhood in northwest Portland, Oregon, characterized by its mix of industrial areas, forested hillsides, and access to the Willamette River.
  • C. Leybourne
    Leybourne is a village and civil parish in Kent, England, known for its residential character and proximity to the town of West Malling.
  • D. Roberttown
    Roberttown is a village in West Yorkshire, England, forming part of the town of Liversedge within the metropolitan borough of Kirklees.
  • E. Brighton-Le-Sands
    Brighton-Le-Sands is a coastal suburb in southern Sydney, Australia, known for its popular beach, promenade, and views across Botany Bay.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668eed2e88190b54b15e6545dbdf8 completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.