Triple
T635773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Trent |
E16617
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Nottingham |
E29264
|
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: Nottingham | Statement: [River Trent, flowsThrough, Nottingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nottingham Context triple: [River Trent, flowsThrough, Nottingham]
-
A.
Nottingham
chosen
Nottingham is a major city in the East Midlands of England, historically known for its lace-making and bicycle industries and famously associated with the legend of Robin Hood.
-
B.
Coventry
Coventry is a historic city in England, best known for its medieval cathedral destroyed in World War II and its symbolic postwar reconciliation efforts.
-
C.
Sheffield
Sheffield is a major industrial city in South Yorkshire, England, historically renowned for its steel production and role in the Industrial Revolution.
-
D.
Leicester
Leicester is a historic and culturally diverse city in the East Midlands of England, known for its Roman origins, vibrant multicultural community, and the rediscovery and reburial of King Richard III.
-
E.
Wolverhampton
Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ee667f08190a0332b8f6c569e1a |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2573c6a48190bfe9b7f2ec026462 |
completed | March 7, 2026, 1:17 p.m. |
Created at: March 1, 2026, 7:35 p.m.