Triple

T25459929
Position Surface form Disambiguated ID Type / Status
Subject Forster Square E638015 entity
Predicate partOf P40 FINISHED
Object Bradford city centre regeneration area
The Bradford city centre regeneration area is a major urban redevelopment zone in Bradford focused on transforming and modernising the city’s core with new commercial, retail, and public spaces.
E929133 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: Bradford city centre regeneration area | Statement: [Forster Square, partOf, Bradford city centre regeneration area]
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: Bradford city centre regeneration area
Triple: [Forster Square, partOf, Bradford city centre regeneration area]
Generated description
The Bradford city centre regeneration area is a major urban redevelopment zone in Bradford focused on transforming and modernising the city’s core with new commercial, retail, and public spaces.

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_69e75db8bab08190baca80b4a8c315fd completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f72a452c8190b53c90a8a725dd69 completed May 2, 2026, 1:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1089b4c3fc8190801d27a74bf721f2 completed May 22, 2026, 4:52 p.m.
NEDg Description generation batch_6a108a67fc908190926977f4e65dba0b completed May 22, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a108b00aee0819088928d399c5e52b7 completed May 22, 2026, 4:57 p.m.
Created at: April 21, 2026, 2:11 p.m.