Triple
T5417370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Thaw |
E121163
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Wiltshire, England |
E153106
|
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: Wiltshire, England | Statement: [John Thaw, residence, Wiltshire, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiltshire, England Context triple: [John Thaw, residence, Wiltshire, England]
-
A.
Wiltshire
chosen
Wiltshire is a historic rural county in South West England known for landmarks such as Stonehenge, Salisbury Cathedral, and its longstanding military presence.
-
B.
Berkshire, England
Berkshire, England is a historic county in South East England known for its royal connections, including Windsor Castle, and its picturesque Thames-side towns.
-
C.
Cambridgeshire, England
Cambridgeshire, England is a historic county in eastern England known for its rural landscapes and as the home of the prestigious University of Cambridge.
-
D.
Marlborough, Wiltshire
Marlborough, Wiltshire is a historic market town in southern England, known for its broad High Street and rich medieval and Georgian heritage.
-
E.
Oxfordshire
Oxfordshire is a historic county in South East England known for the city of Oxford and its prestigious university, as well as its stately homes and rural landscapes.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87e620f081909eb9a5e1f284e5a2 |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf858027b08190a6ea46493c6a87c6 |
completed | March 22, 2026, 6 a.m. |
Created at: March 20, 2026, 2:05 p.m.