Triple
T15647509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chur |
E376218
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Cabourg |
E425491
|
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: Cabourg | Statement: [Chur, twinTown, Cabourg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabourg Context triple: [Chur, twinTown, Cabourg]
-
A.
Cabourg
chosen
Cabourg is a seaside resort town in northwestern France, known for its Belle Époque architecture, sandy beaches, and association with writer Marcel Proust.
-
B.
Wimereux
Wimereux is a seaside resort town on France’s northern Opal Coast, known for its sandy beaches, Belle Époque villas, and coastal promenades.
-
C.
Sandouville
Sandouville is a French commune in the Normandy region, known for its industrial activity and proximity to the port city of Le Havre.
-
D.
Cauville-sur-Mer
Cauville-sur-Mer is a coastal commune in the Normandy region of northern France, situated near the city of Le Havre.
-
E.
Valognes
Valognes is a historic town in northwestern France known for its elegant 17th- and 18th-century mansions and its location on the Cotentin Peninsula in Normandy.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed5b8b081908d7127964eed3b09 |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67936e388190913c9060194e5b53 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.