Triple

T31792352
Position Surface form Disambiguated ID Type / Status
Subject River Yealm E811503 entity
Predicate hasPort P35 FINISHED
Object Newton Ferrers and Noss Mayo harbour area
Newton Ferrers and Noss Mayo harbour area is a picturesque tidal estuary and boating haven in South Devon, England, known for its sheltered moorings, scenic villages, and rich maritime and wildlife environment.
E1977856 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: Newton Ferrers and Noss Mayo harbour area | Statement: [River Yealm, hasPort, Newton Ferrers and Noss Mayo harbour area]
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: Newton Ferrers and Noss Mayo harbour area
Triple: [River Yealm, hasPort, Newton Ferrers and Noss Mayo harbour area]
Generated description
Newton Ferrers and Noss Mayo harbour area is a picturesque tidal estuary and boating haven in South Devon, England, known for its sheltered moorings, scenic villages, and rich maritime and wildlife environment.

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_69f348e60748819082dcaa7792659803 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6ac1a37908190a1ad8005a8e5d2ae completed May 3, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2d9d606aa481909bd9d7e971b64553 completed June 13, 2026, 6:11 p.m.
NEDg Description generation batch_6a2d9df2b8bc81909145216bf1bea8f6 completed June 13, 2026, 6:14 p.m.
NED2 Entity disambiguation (via description) batch_6a2d9eb095408190a454afb237e14476 completed June 13, 2026, 6:17 p.m.
Created at: April 30, 2026, 11:39 p.m.