Triple
T16210044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoncolan |
E393437
|
entity |
| Predicate | hasClimbSide |
P54392
|
FINISHED |
| Object | Priola |
E395025
|
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: Priola | Statement: [Zoncolan, hasClimbSide, Priola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Priola Context triple: [Zoncolan, hasClimbSide, Priola]
-
A.
Priola
chosen
Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
-
B.
Bisacquino
Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
-
C.
Palagano
Palagano is a small municipality in the Emilia-Romagna region of northern Italy, situated in the Apennine mountains within the Province of Modena.
-
D.
Orotelli
Orotelli is a small town and comune in the province of Nuoro on the island of Sardinia, Italy, known for its traditional Sardinian culture and rural landscape.
-
E.
Nocciano
Nocciano is a small Italian town and comune in the Abruzzo region, known for its historic hilltop setting and traditional rural character.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22713282481909c7c0d0782213461 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007932f088190b6c20913cfb932f4 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.