Triple

T4934360
Position Surface form Disambiguated ID Type / Status
Subject Port Eynon E110775 entity
Predicate near P350 FINISHED
Object Oxwich E99915 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: Oxwich | Statement: [Port Eynon, near, Oxwich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oxwich
Context triple: [Port Eynon, near, Oxwich]
  • A. Nailsea
    Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
  • B. Swanage
    Swanage is a small coastal resort town on the Isle of Purbeck in southern England, known for its sandy beach, Victorian pier, and access to the Jurassic Coast.
  • C. Stourmouth
    Stourmouth is a small rural village in Kent, England, situated near the River Stour and known for its historic church and countryside setting.
  • D. Oxwich Bay chosen
    Oxwich Bay is a scenic, sandy beach and coastal area on the Gower Peninsula in South Wales, popular for its natural beauty, wildlife, and water activities.
  • E. Burnham-on-Sea
    Burnham-on-Sea is a small seaside resort town on the Bristol Channel coast of Somerset in southwest England, known for its sandy beaches and historic low lighthouse.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7066ed548190a76a9559f90e3869 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81c5f8ec8190834c624bae17adff completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:30 p.m.