Triple
T27398495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipal Borough of Willesden |
E691758
|
entity |
| Predicate | category |
P87
|
FINISHED |
| Object |
History of the London Borough of Brent
The History of the London Borough of Brent covers the development and transformation of the area now known as Brent, including its origins in former municipal boroughs such as Willesden and Wembley and its evolution into a modern London borough.
|
E1770636
|
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: History of the London Borough of Brent | Statement: [Municipal Borough of Willesden, category, History of the London Borough of Brent]
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: History of the London Borough of Brent Triple: [Municipal Borough of Willesden, category, History of the London Borough of Brent]
Generated description
The History of the London Borough of Brent covers the development and transformation of the area now known as Brent, including its origins in former municipal boroughs such as Willesden and Wembley and its evolution into a modern London borough.
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_69ef5204f7048190bf226a129858fc5b |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f62cb258ec8190834d9f98cd772779 |
completed | May 2, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12a7f877188190a608a71afafa46e0 |
completed | May 24, 2026, 7:25 a.m. |
| NEDg | Description generation | batch_6a12a91cda148190b9d85ae8f9d24250 |
completed | May 24, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12aa0a89b88190ad4e1c5b0e26205b |
completed | May 24, 2026, 7:34 a.m. |
Created at: April 27, 2026, 12:28 p.m.