Triple
T7514939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward Vernon |
E177614
|
entity |
| Predicate | parliamentaryConstituency |
P2710
|
FINISHED |
| Object | Penryn |
E115353
|
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: Penryn | Statement: [Edward Vernon, parliamentaryConstituency, Penryn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penryn Context triple: [Edward Vernon, parliamentaryConstituency, Penryn]
-
A.
Penryn
chosen
Penryn is a historic town and former parliamentary borough in Cornwall, England.
-
B.
Haverfordwest
Haverfordwest is a historic market town in southwest Wales that serves as the principal commercial and administrative centre of Pembrokeshire.
-
C.
Helston
Helston is a small historic market town in Cornwall, England, known for its traditional Flora Day festival and proximity to the Lizard Peninsula.
-
D.
Abersoch
Abersoch is a popular seaside village and holiday resort in Gwynedd, Wales, known for its sandy beaches and water sports on the Llŷn Peninsula.
-
E.
Tywyn
Tywyn is a coastal town in Gwynedd, Wales, known for its sandy beaches on Cardigan Bay and proximity to the scenic Talyllyn 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f44dd48190b2b093aab9a196c8 |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8eef3b7a88190bb42b5f93ce2daba |
completed | March 29, 2026, 9:20 a.m. |
Created at: March 27, 2026, 3:45 p.m.