Triple

T28778720
Position Surface form Disambiguated ID Type / Status
Subject Creech St Michael E726612 entity
Predicate hasElectoralWard P962 FINISHED
Object Creech St Michael electoral ward
Creech St Michael electoral ward is a local government division in Somerset, England, that elects representatives to the relevant district or unitary council.
E1834922 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: Creech St Michael electoral ward | Statement: [Creech St Michael, hasElectoralWard, Creech St Michael electoral ward]
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: Creech St Michael electoral ward
Triple: [Creech St Michael, hasElectoralWard, Creech St Michael electoral ward]
Generated description
Creech St Michael electoral ward is a local government division in Somerset, England, that elects representatives to the relevant district or unitary council.

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_69f03199997c8190b6ae43fb19312443 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f6584b0f148190892a2566287913ca completed May 2, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24a26b0f9881909e0ff313d3620174 completed June 6, 2026, 10:42 p.m.
NEDg Description generation batch_6a24a638e30881908d94bc85bfb4b3a4 completed June 6, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_6a24b191b75c8190842a72cd498304fe completed June 6, 2026, 11:47 p.m.
Created at: April 28, 2026, 6:18 a.m.