Triple

T13418500
Position Surface form Disambiguated ID Type / Status
Subject Exeter to Exmouth line E313275 entity
Predicate connects P390 FINISHED
Object Exmouth E315839 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: Exmouth | Statement: [Exeter to Exmouth line, connects, Exmouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Exmouth
Context triple: [Exeter to Exmouth line, connects, Exmouth]
  • A. Exmouth chosen
    Exmouth is a coastal town in Devon, England, known as a popular seaside resort at the mouth of the River Exe.
  • B. Exmouth
    Exmouth is a remote coastal town in Western Australia known as the main gateway to the Ningaloo Reef, famous for its marine life and whale shark encounters.
  • C. Brixham
    Brixham is a historic fishing town and port in Devon, England, known for its maritime heritage and role in traditional shipbuilding.
  • D. Paignton
    Paignton is a seaside town in Devon, England, known for its sandy beaches, traditional pier, and role as part of the English Riviera resort area.
  • E. Torquay
    Torquay is a seaside resort town on the English Riviera in Devon, England, known for its mild climate, beaches, and Victorian-era tourism.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb8416c8190a00dde0917c26f51 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64e2991c81908f474fe07a6ba10a completed May 8, 2026, 10:34 p.m.
Created at: April 9, 2026, 9:39 p.m.