Triple
T13898732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingsbridge |
E334161
|
entity |
| Predicate | parliamentaryConstituency |
P2710
|
FINISHED |
| Object | Totnes |
E219507
|
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: Totnes | Statement: [Kingsbridge, parliamentaryConstituency, Totnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Totnes Context triple: [Kingsbridge, parliamentaryConstituency, Totnes]
-
A.
Totnes
chosen
Totnes is a historic market town and former parliamentary borough in Devon, England, known for its rich heritage and independent, bohemian character.
-
B.
Thankerton
Thankerton is a small village in South Lanarkshire, Scotland, situated within the historic district of Clydesdale.
-
C.
Winscombe
Winscombe is a large village and civil parish in North Somerset, England, known for its rural setting and community amenities.
-
D.
Southwold
Southwold is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
-
E.
Southwold
Southwold is a small seaside town and popular tourist resort on the North Sea coast of Suffolk, England, known for its pier, beach huts, and historic lighthouse.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d8897881908b770cdb565898d4 |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c0b6848190b67051e0ccbdb707 |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:15 p.m.