Triple
T3977138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whipsnade, Bedfordshire, England |
E85669
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object | Dunstable |
E194625
|
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: Dunstable | Statement: [Whipsnade, Bedfordshire, England, postalTown, Dunstable]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunstable Context triple: [Whipsnade, Bedfordshire, England, postalTown, Dunstable]
-
A.
Dunstable
chosen
Dunstable is a historic market town in Bedfordshire, England, known for its location at the crossroads of ancient routes and its proximity to the Chiltern Hills.
-
B.
Abingdon
Abingdon is a historic market town in Oxfordshire, England, often claimed to be one of the oldest continuously inhabited towns in the country.
-
C.
Hunsdon
Hunsdon is a rural village and civil parish in Hertfordshire, England, known for its historic airfield and countryside setting.
-
D.
Berkhamsted
Berkhamsted is a historic market town in Hertfordshire, England, known for its medieval castle remains and role as a commuter hub northwest of London.
-
E.
Tunstall
Tunstall is one of the six towns that make up the city of Stoke-on-Trent in Staffordshire, England, known historically for its pottery industry.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9b876d8819082f4b81c9699913a |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c472d048190843b29a6a9a4be86 |
completed | March 14, 2026, 11:53 a.m. |
Created at: March 9, 2026, 3:33 p.m.