Triple
T4310701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Bridge, Pontypridd |
E94065
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | River Taff |
E35547
|
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: River Taff | Statement: [Old Bridge, Pontypridd, crosses, River Taff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Taff Context triple: [Old Bridge, Pontypridd, crosses, River Taff]
-
A.
River Taff
chosen
The River Taff is a major river in South Wales that flows through Merthyr Tydfil and Cardiff before reaching the Bristol Channel.
-
B.
Neath
Neath is a historic industrial and market town in South Wales, known for its Roman and medieval heritage and its role in the coal and steel industries.
-
C.
Rhymney River
The Rhymney River is a river in South Wales that flows through the city of Cardiff before reaching the Bristol Channel.
-
D.
River Teifi
The River Teifi is a major river in west Wales known for its scenic valley, rich wildlife, and traditional coracle fishing.
-
E.
River Rheidol
The River Rheidol is a river in Ceredigion, Wales, known for flowing through steep wooded valleys to the coastal town of Aberystwyth and lending its name to the historic Vale of Rheidol Railway.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d55d748190a57fabcf58782dba |
completed | March 12, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd679169748190bb5f23211e4556cd |
completed | March 20, 2026, 3:28 p.m. |
Created at: March 12, 2026, 11:11 p.m.