Triple
T555082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloucestershire |
E11924
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object | Stroud |
E72661
|
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: Stroud | Statement: [Gloucestershire, hasDistrict, Stroud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stroud Context triple: [Gloucestershire, hasDistrict, Stroud]
-
A.
Stroud
chosen
Stroud is a market town and parliamentary constituency in Gloucestershire, England, known historically for its role in the Industrial Revolution and its association with progressive politics.
-
B.
Tewkesbury
Tewkesbury is a historic market town in England known for its well-preserved medieval streets, timber-framed buildings, and the prominent Tewkesbury Abbey.
-
C.
Cirencester
Cirencester is a historic market town in south-central England, renowned for its Roman heritage and Cotswold architecture.
-
D.
Tetbury
Tetbury is a historic market town in the Cotswolds region of southwest England, known for its wool-trading heritage and well-preserved medieval and Georgian architecture.
-
E.
Oswestry
Oswestry is a historic market town in Shropshire, England, near the Welsh border, known for its rich cultural heritage and cross-border influences.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4991dd7008190a6c1bc8bc832456d |
completed | March 1, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dc8df9708190976967ad4e45a597 |
completed | March 2, 2026, 6:53 p.m. |
Created at: March 1, 2026, 7:32 p.m.