Triple
T22624353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mugello |
E558374
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Vicchio |
E1546886
|
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: Vicchio | Statement: [Mugello, contains, Vicchio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vicchio Context triple: [Mugello, contains, Vicchio]
-
A.
Vicchio
chosen
Vicchio is a small Tuscan town in Italy, historically notable as the birthplace of the early Renaissance painter Fra Angelico (Guido di Pietro).
-
B.
Pratovecchio
Pratovecchio is a small historic town in Tuscany, central Italy, known for its medieval heritage and scenic setting in the Casentino valley.
-
C.
Gavignano
Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
-
D.
Guarcino
Guarcino is a small historic town in the Lazio region of central Italy, situated in the traditional area known as Ciociaria.
-
E.
Rapagnano
Rapagnano is a small Italian municipality in the Marche 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_69e24545a8e08190bfa7482a2c725ff1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3c5cb88190b172f9f92eb58d7f |
completed | April 29, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73da74ec81908f6c2ae3fa958d7a |
completed | May 18, 2026, 8:17 p.m. |
Created at: April 17, 2026, 3:01 p.m.