Triple
T3179882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TNA |
E66557
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Richmond upon Thames |
E46672
|
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: Richmond upon Thames | Statement: [TNA, locatedIn, Richmond upon Thames]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richmond upon Thames Context triple: [TNA, locatedIn, Richmond upon Thames]
-
A.
Richmond upon Thames
chosen
Richmond upon Thames is a leafy, affluent borough in southwest London known for its riverside scenery, extensive parks like Richmond Park, and historic architecture along the River Thames.
-
B.
Hounslow
Hounslow is a suburban district in West London known for its diverse community, major transport links, and proximity to Heathrow Airport.
-
C.
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.
-
D.
Teddington
Teddington is a suburban town in southwest London, England, known for its riverside location on the Thames and proximity to several royal parks.
-
E.
Hammersmith
Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
- 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_69ad8586a34c8190944c63ec11a8de1a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada69f2d108190847922795e7b6687 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bafeea081908b0909dff919a4fc |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 8, 2026, 3:06 p.m.