Triple
T12610700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torfaen (Senedd constituency) |
E301111
|
entity |
| Predicate | covers |
P1393
|
FINISHED |
| Object | Torfaen |
E54866
|
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: Torfaen | Statement: [Torfaen (Senedd constituency), covers, Torfaen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torfaen Context triple: [Torfaen (Senedd constituency), covers, Torfaen]
-
A.
Torfaen
chosen
Torfaen is a county borough and principal area in southeast Wales, known for its mix of post-industrial towns and scenic valleys along the Afon Llwyd river.
-
B.
Giffnock
Giffnock is a suburban town in East Renfrewshire, Scotland, known for its affluent residential character and proximity to Glasgow.
-
C.
Cambuslang
Cambuslang is a suburban town in Scotland situated near Glasgow, known historically for its coal mining and industrial heritage.
-
D.
Lanark
Lanark is a small unincorporated community located in Raleigh County, West Virginia, United States.
-
E.
Lanark
Lanark is a historic market town in South Lanarkshire, Scotland, known for its medieval origins and role as a former royal burgh.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954ea1d748190a848e8a7873e2ea5 |
completed | April 10, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ea9024081908c800f6a5afc149e |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:11 p.m.