Triple
T17703474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borgo San Dalmazzo |
E441367
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Valdeblore |
—
|
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: Valdeblore | Statement: [Borgo San Dalmazzo, hasTwinTown, Valdeblore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdeblore Context triple: [Borgo San Dalmazzo, hasTwinTown, Valdeblore]
-
A.
Valdeblore
chosen
Valdeblore is a mountain commune in southeastern France known for its ski resort La Colmiane and its location in the southern Alps near the Mercantour National Park.
-
B.
Profondeville
Profondeville is a municipality in Wallonia, Belgium, situated along the Meuse River in Namur Province.
-
C.
Dorincourt
Dorincourt is the aristocratic family name borne by the fictional Earl in Frances Hodgson Burnett’s novel "Little Lord Fauntleroy."
-
D.
Vesoul
Vesoul is a commune in eastern France that serves as the administrative center (prefecture) of the Haute-Saône department.
-
E.
Joncreuil
Joncreuil is a small French commune located in the Aube department in the Grand Est region of northeastern France.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4729528b88190bd8a104f6f6d4e69 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 10, 2026, 10:05 a.m.