Triple

T27176980
Position Surface form Disambiguated ID Type / Status
Subject Market Deeping Town Council E683073 entity
Predicate governs P760 FINISHED
Object Market Deeping civil parish
Market Deeping civil parish is a local administrative area in Lincolnshire, England, encompassing the town of Market Deeping and its immediate surroundings.
E1759699 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: Market Deeping civil parish | Statement: [Market Deeping Town Council, governs, Market Deeping civil parish]
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: Market Deeping civil parish
Triple: [Market Deeping Town Council, governs, Market Deeping civil parish]
Generated description
Market Deeping civil parish is a local administrative area in Lincolnshire, England, encompassing the town of Market Deeping and its immediate surroundings.

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_69eefad086808190ab89816c0c300476 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6257a5ae881908db3032511378836 completed May 2, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12538c9fa08190ba359111836350f6 completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a12541561408190932abf960042009c completed May 24, 2026, 1:27 a.m.
NED2 Entity disambiguation (via description) batch_6a1254f46d288190aa6f45f8c8e9007d completed May 24, 2026, 1:31 a.m.
Created at: April 27, 2026, 9:26 a.m.