Triple
T7679175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compiègne |
E173943
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Denbigh |
E692252
|
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: Denbigh | Statement: [Compiègne, twinTown, Denbigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denbigh Context triple: [Compiègne, twinTown, Denbigh]
-
A.
Denbigh
chosen
Denbigh is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
-
B.
Denbighshire
Denbighshire is a historic and principal county in north-east Wales, known for its rural landscapes, market towns, and sections of the Clwydian Range and Dee Valley Area of Outstanding Natural Beauty.
-
C.
Flintshire
Flintshire is a county in northeast Wales known for its mix of industrial towns, historic sites, and rural landscapes along the Dee Estuary.
-
D.
Powys
Powys is a large, predominantly rural county in mid-Wales known for its mountainous landscapes, market towns, and extensive agricultural areas.
-
E.
Radnorshire
Radnorshire is a historic county in mid-Wales known for its rural landscapes, small market towns, and incorporation into the modern county of Powys.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fe2cc88190b5fd5e1378c32e5b |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc638e62608190958e90b07138a1cc |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 27, 2026, 4:01 p.m.