Triple
T7201840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Edwards Bridge |
E168765
|
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: [William Edwards Bridge, crosses, River Taff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Taff Context triple: [William Edwards Bridge, 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.
Afon Taf
Afon Taf is a river in southwest Wales that flows through Carmarthenshire before reaching the sea at Carmarthen Bay.
-
E.
River Teifi
The River Teifi is a major river in west Wales known for its scenic valley, rich wildlife, and traditional coracle fishing.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e94971508190bb38184c9af2fe51 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8fa20137081909a21ac366c19407f |
completed | March 29, 2026, 10:08 a.m. |
Created at: March 27, 2026, 2:52 p.m.