Triple

T33780505
Position Surface form Disambiguated ID Type / Status
Subject Bridgwater Bay E865640 entity
Predicate hasSubfeature P25619 FINISHED
Object River Parrett estuary
The River Parrett estuary is the tidal lower reach of the River Parrett in Somerset, England, where it broadens and flows into Bridgwater Bay on the Bristol Channel.
E2067632 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: River Parrett estuary | Statement: [Bridgwater Bay, hasSubfeature, River Parrett estuary]
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: River Parrett estuary
Triple: [Bridgwater Bay, hasSubfeature, River Parrett estuary]
Generated description
The River Parrett estuary is the tidal lower reach of the River Parrett in Somerset, England, where it broadens and flows into Bridgwater Bay on the Bristol Channel.

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_69f3498ecc2c8190bcd85e3f11dc215e completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fcc8b3bc8190939a334c23e2ffa2 completed May 3, 2026, 7:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3665898d1481908913411737110016 completed June 20, 2026, 10:03 a.m.
NEDg Description generation batch_6a36663e473c81908cb06cf9eb79cfc0 completed June 20, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_6a3666ebe7ec8190a279f7eb183cf157 completed June 20, 2026, 10:09 a.m.
Created at: May 1, 2026, 1:45 a.m.