Triple

T30781506
Position Surface form Disambiguated ID Type / Status
Subject Start Bay E783823 entity
Predicate hasBeach P1922 FINISHED
Object Strete Gate Beach
Strete Gate Beach is a shingle beach at the northern end of Start Bay in South Devon, England, known for its scenic coastal views, clear waters, and access to the South West Coast Path.
E1970286 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: Strete Gate Beach | Statement: [Start Bay, hasBeach, Strete Gate Beach]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Strete Gate Beach
Triple: [Start Bay, hasBeach, Strete Gate Beach]
Generated description
Strete Gate Beach is a shingle beach at the northern end of Start Bay in South Devon, England, known for its scenic coastal views, clear waters, and access to the South West Coast Path.

Provenance (5 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_69f224b213c8819083886073f90b647e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68fe5193081909ef1c57bc00c8315 completed May 2, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2b56146bf881909887ed354944ad49 completed June 12, 2026, 12:43 a.m.
NEDg Description generation batch_6a2b57d50afc8190ba50f7a268bc9420 completed June 12, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a2b7126b9ec81909737cbb860bdb2c2 completed June 12, 2026, 2:38 a.m.
Created at: April 29, 2026, 8:41 p.m.