Triple
T5991196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goring-on-Thames |
E133353
|
entity |
| Predicate | separatedFromBy |
P1175
|
FINISHED |
| Object | Streatley |
E562264
|
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: Streatley | Statement: [Goring-on-Thames, separatedFromBy, Streatley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Streatley Context triple: [Goring-on-Thames, separatedFromBy, Streatley]
-
A.
Streatley
chosen
Streatley is a village in Berkshire, England, situated on the River Thames opposite Goring-on-Thames and known for its scenic countryside and historic charm.
-
B.
Stirchley
Stirchley is a suburban district of Birmingham, England, known for its mix of residential streets, independent shops, and light industry.
-
C.
Staines Bridge
Staines Bridge is a historic road bridge over the River Thames in Surrey, England, carrying traffic between Staines-upon-Thames and Egham.
-
D.
Slough
Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
-
E.
Staines-upon-Thames
Staines-upon-Thames is a riverside town in southeast England situated on the River Thames, known historically as a crossing point into London and now as a commuter and commercial center.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc8ab648190beb1bc141796894e |
completed | March 22, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1136125808190a363a00a60d8675a |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:05 p.m.