Triple
T31219384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westway Sports Centre |
E795962
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object |
Westway area of London
The Westway area of London is an urban district in West London situated around the elevated A40 Westway, known for its mix of residential neighborhoods, community facilities, and sports and leisure amenities.
|
E1952308
|
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: Westway area of London | Statement: [Westway Sports Centre, region, Westway area of London]
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: Westway area of London Triple: [Westway Sports Centre, region, Westway area of London]
Generated description
The Westway area of London is an urban district in West London situated around the elevated A40 Westway, known for its mix of residential neighborhoods, community facilities, and sports and leisure amenities.
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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c4ba1c4819080ebeaddb6c16075 |
completed | May 3, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a29592d54d08190b756f6dc853d4faa |
completed | June 10, 2026, 12:31 p.m. |
| NEDg | Description generation | batch_6a2959e9572c8190b8d3f16d5203050a |
completed | June 10, 2026, 12:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a295c5a2ec481909a153eaf63de517d |
completed | June 10, 2026, 12:45 p.m. |
Created at: April 29, 2026, 9:10 p.m.