Triple
T15078274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riesa |
E380063
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Rotherham |
E138767
|
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: Rotherham | Statement: [Riesa, twinTown, Rotherham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rotherham Context triple: [Riesa, twinTown, Rotherham]
-
A.
Rotherham
chosen
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.
-
B.
Barnsley
Barnsley is a large market town and former industrial centre in South Yorkshire, England, historically known for coal mining and glassmaking.
-
C.
Todmorden
Todmorden is a market town in West Yorkshire, England, known for its industrial heritage, surrounding Pennine countryside, and community-led urban agriculture initiatives.
-
D.
Doncaster
Doncaster is a large town and metropolitan borough in South Yorkshire, England, known historically for its railway heritage, horse racing, and role as a regional commercial center.
-
E.
Huddersfield
Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff7fe5a208190823900b25e298dab |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae13f76881908485b3507b380799 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:03 a.m.