Triple

T27218545
Position Surface form Disambiguated ID Type / Status
Subject ITV South West franchise E681204 entity
Predicate formerRegionalNewsBrand P1501 FINISHED
Object ITV News Westcountry
ITV News Westcountry is a regional television news service in the United Kingdom covering the West Country area for the ITV network.
E1759333 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: ITV News Westcountry | Statement: [ITV South West franchise, formerRegionalNewsBrand, ITV News Westcountry]
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: ITV News Westcountry
Triple: [ITV South West franchise, formerRegionalNewsBrand, ITV News Westcountry]
Generated description
ITV News Westcountry is a regional television news service in the United Kingdom covering the West Country area for the ITV network.

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_69eefac9f64c8190a07490fe0c8b72a3 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69fd23dd53e08190ab02f936647cd2e2 completed May 7, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12626cc40c81909bc6ce06bb252d44 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a126ff87bc881909f9671f9fd67c7ff completed May 24, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_6a1270eeb7688190badf23ffcb199203 completed May 24, 2026, 3:30 a.m.
Created at: April 27, 2026, 9:42 a.m.