Triple
T5583743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warwick |
E146701
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Leamington Spa |
E273158
|
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: Leamington Spa | Statement: [Warwick, nearbySettlement, Leamington Spa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leamington Spa Context triple: [Warwick, nearbySettlement, Leamington Spa]
-
A.
Leamington Spa
chosen
Leamington Spa is a historic spa town in Warwickshire, England, known for its Regency architecture, landscaped parks, and former popularity as a fashionable health resort.
-
B.
Wantage
Wantage is a historic market town in Oxfordshire, England, best known as the birthplace of King Alfred the Great.
-
C.
Leamington
Leamington is a small rural town located in Millard County in central Utah, known for its agricultural setting and proximity to the Sevier River.
-
D.
Aylesbury
Aylesbury is a historic market town in southern England that serves as an important commercial and administrative center in Buckinghamshire.
-
E.
Slough
Slough is a large industrial and commercial town in southern England, known for its diverse population and proximity to London and Heathrow Airport.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02084b5f0819089b62283c57704ec |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d2aab348190944cca5375e0ddb9 |
completed | March 22, 2026, 8:12 p.m. |
Created at: March 22, 2026, 3:37 p.m.