Triple
T13163177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midlands, England |
E312777
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Shrewsbury |
E30803
|
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: Shrewsbury | Statement: [Midlands, England, contains, Shrewsbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shrewsbury Context triple: [Midlands, England, contains, Shrewsbury]
-
A.
Shrewsbury
chosen
Shrewsbury is a historic market town in Shropshire, England, known for its well-preserved medieval streets and timber-framed buildings.
-
B.
Shrewsbury
Shrewsbury is a suburban town in central Massachusetts known for its residential character, historic New England charm, and proximity to the city of Worcester.
-
C.
Shrewsbury
Shrewsbury is a small rural town in Rutland County, Vermont, known for its scenic Green Mountain landscapes and tight-knit community.
-
D.
Tewkesbury
Tewkesbury is a historic market town in England known for its well-preserved medieval streets, timber-framed buildings, and the prominent Tewkesbury Abbey.
-
E.
Frampton-on-Severn
Frampton-on-Severn is a picturesque village in Gloucestershire, England, known for its large village green and historic Cotswold stone buildings.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0a9d348190909fcf45f9d650e4 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf4cd788190b74cca51b5219bfb |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.