Triple

T13890666
Position Surface form Disambiguated ID Type / Status
Subject Plym Estuary E333960 entity
Predicate hasMouthNear P350 FINISHED
Object Cattedown E768612 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: Cattedown | Statement: [Plym Estuary, hasMouthNear, Cattedown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cattedown
Context triple: [Plym Estuary, hasMouthNear, Cattedown]
  • A. Cattedown chosen
    Cattedown is an industrial and residential district of Plymouth, England, known for its waterfront location and maritime heritage.
  • B. Cuminestown
    Cuminestown is a small rural village in Aberdeenshire, Scotland, known for its agricultural surroundings and traditional Scottish character.
  • C. Castlerock
    Castlerock is a small seaside village and popular holiday resort on the north coast of Northern Ireland.
  • D. Underdale
    Underdale is a residential suburb in Adelaide, South Australia, known for its proximity to the River Torrens and its mix of older homes and newer developments.
  • E. Cathcart
    Cathcart is a Scottish surname historically associated with a noble family and place names in Scotland.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a3a24881908d81d634622fbbcc completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71a43908190bc7537f0a2379599 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.