Triple
T6658775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludgershall |
E151416
|
entity |
| Predicate | parliamentaryConstituency |
P2710
|
FINISHED |
| Object | Devizes |
E334960
|
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: Devizes | Statement: [Ludgershall, parliamentaryConstituency, Devizes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devizes Context triple: [Ludgershall, parliamentaryConstituency, Devizes]
-
A.
Devizes
chosen
Devizes is a historic market town and civil parish in Wiltshire, England, known for its medieval origins and well-preserved architecture.
-
B.
Leintwardine
Leintwardine is a small historic village in Herefordshire, England, near the Welsh border, known for its Roman heritage and rural setting.
-
C.
Grosmont
Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
-
D.
Brynmelin
Brynmelin is a district within the City and County of Swansea in Wales, known primarily as a residential area of the city.
-
E.
Montferland
Montferland is a municipality and hilly forested region in the Dutch province of Gelderland, known for its scenic landscapes and historic towns near the German border.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0706514819087270d1c68866e2c |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef04fe608190b34cc53a54318826 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:01 p.m.