Triple
T11779879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maidenhead Town Hall |
E280113
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Maidenhead town centre |
E58028
|
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: Maidenhead town centre | Statement: [Maidenhead Town Hall, locatedNear, Maidenhead town centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maidenhead town centre Context triple: [Maidenhead Town Hall, locatedNear, Maidenhead town centre]
-
A.
Maidenhead
chosen
Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
-
B.
Hamstead
Hamstead is a suburban residential area in the West Midlands, England, situated between Birmingham and Sandwell.
-
C.
Bracknell
Bracknell is a town in the English county of Berkshire, known as a post-war New Town and commercial centre in the Thames Valley.
-
D.
Leighton Buzzard
Leighton Buzzard is a historic market town in southern England known for its traditional high street, canal-side setting, and proximity to London.
-
E.
St Neots
St Neots is a historic market town in eastern England situated on the River Great Ouse, known for its riverside parks and growing commuter population.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a5623f708190a18aea570577a3f6 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f130cb31f48190a9357cce47a7b192 |
completed | April 28, 2026, 10:12 p.m. |
Created at: April 8, 2026, 9:42 p.m.