Triple
T23204677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine Jenkins |
E580416
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Neath |
—
|
NE NERFINISHED |
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: Neath | Statement: [Katherine Jenkins, placeOfBirth, Neath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neath Context triple: [Katherine Jenkins, placeOfBirth, Neath]
-
A.
Neath
chosen
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.
-
B.
Neath
Neath is a small locality within the Cessnock local government area in the Hunter Region of New South Wales, Australia.
-
C.
River Taff
The River Taff is a major river in South Wales that flows through Merthyr Tydfil and Cardiff before reaching the Bristol Channel.
-
D.
Neath Estuary
Neath Estuary is the tidal mouth and surrounding coastal wetland area where the River Neath meets the sea in South Wales.
-
E.
Dyfi Valley
Dyfi Valley is a scenic river valley in mid Wales known for its rich biodiversity, cultural heritage, and designation as a UNESCO Biosphere Reserve.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907c1d7c8190aca252a39ae0da86 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.