Triple
T7376352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coryton |
E170133
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | City of Cardiff |
E12034
|
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: City of Cardiff | Statement: [Coryton, partOf, City of Cardiff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Cardiff Context triple: [Coryton, partOf, City of Cardiff]
-
A.
Cardiff
chosen
Cardiff is the capital and largest city of Wales, known as a major cultural, commercial, and sporting center with a rich industrial and maritime history.
-
B.
Caennais
Caennais refers to the inhabitants or natives of Caen, a historic city in the Normandy region of northwestern France.
-
C.
Llandaff
Llandaff is a historic district of Cardiff in Wales, best known for its medieval cathedral and long-standing ecclesiastical significance.
-
D.
Cardiff-by-the-Sea
Cardiff-by-the-Sea is a laid-back coastal community in northern San Diego County known for its beaches, surf culture, and small-town charm.
-
E.
Carmarthen
Carmarthen is a historic market town in southwest Wales, often regarded as one of the oldest towns in the country and traditionally linked with the legends of Merlin.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a8b18c8190ad1a19521eda2319 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ec60d8481908e1e94ad87529a51 |
completed | March 28, 2026, 6:32 p.m. |
Created at: March 27, 2026, 3:07 p.m.