Triple
T10075882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwäbisch Gmünd |
E213753
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Barnsley |
E140156
|
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: Barnsley | Statement: [Schwäbisch Gmünd, twinTown, Barnsley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barnsley Context triple: [Schwäbisch Gmünd, twinTown, Barnsley]
-
A.
Barnsley
chosen
Barnsley is a large market town and former industrial centre in South Yorkshire, England, historically known for coal mining and glassmaking.
-
B.
Rotherham
Rotherham is a large town in South Yorkshire, England, historically known for its coal mining and steel industries and now part of the wider Sheffield urban area.
-
C.
Middlesbrough
Middlesbrough is a large industrial town and port in North Yorkshire, England, known historically for its steelmaking and chemical industries on the River Tees.
-
D.
Huddersfield
Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
-
E.
Wakefield
Wakefield is a historic cathedral city in West Yorkshire, Northern England, known for its medieval heritage and role as an administrative and commercial center in the region.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd0190d808190847ea0fa401ef06c |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ac67cb48190ba53a87c3749a245 |
completed | April 5, 2026, 5:24 p.m. |
Created at: March 30, 2026, 8:59 p.m.