Triple

T37624237
Position Surface form Disambiguated ID Type / Status
Subject Rettendon E936158 entity
Predicate governingBody P46 FINISHED
Object Rettendon Parish Council
Rettendon Parish Council is the local elected authority responsible for representing and managing community affairs and services within the parish of Rettendon in Essex, England.
E2236047 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: Rettendon Parish Council | Statement: [Rettendon, governingBody, Rettendon Parish Council]
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: Rettendon Parish Council
Triple: [Rettendon, governingBody, Rettendon Parish Council]
Generated description
Rettendon Parish Council is the local elected authority responsible for representing and managing community affairs and services within the parish of Rettendon in Essex, England.

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_69f76ed24820819081bafd36e9088701 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba934ecf48190b74c22c6918d82e5 completed May 6, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40afef47648190bc6d02752ca187f8 completed June 28, 2026, 5:23 a.m.
NEDg Description generation batch_6a40b16a68c08190ae4204e7cf4cdf68 completed June 28, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_6a40b204c12c819085dadeffc57aa2d4 completed June 28, 2026, 5:32 a.m.
Created at: May 3, 2026, 4:18 p.m.