Triple
T9510452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amersham |
E229376
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | AMERSHAM |
E229376
|
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: AMERSHAM | Statement: [Amersham, postTown, AMERSHAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMERSHAM Context triple: [Amersham, postTown, AMERSHAM]
-
A.
Amersham
chosen
Amersham is a historic market town in southeast England known for its picturesque old town, Chilterns countryside setting, and role as a commuter hub into London.
-
B.
Beaconsfield
Beaconsfield is a suburban city on the western part of the Island of Montreal in Quebec, Canada, known for its residential character and waterfront along Lake Saint-Louis.
-
C.
Beaconsfield
Beaconsfield is a historic market town in South East England known for its affluent residential character and well-preserved old town architecture.
-
D.
Rickmansworth
Rickmansworth is a small town in south-west Hertfordshire, England, known for its canals, lakes, and role as a commuter suburb of London.
-
E.
Stanmore
Stanmore is a suburban district in the London Borough of Harrow, England, known for its residential character and historical connections, including former Royal Air Force sites.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9868616c8190856f89fecfa1a02e |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c1092bc8190917d71e2b6f62c25 |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 7:58 p.m.