Triple
T12521512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sila |
E299329
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Botte Donato |
E877569
|
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: Botte Donato | Statement: [Sila, highestPoint, Botte Donato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Botte Donato Context triple: [Sila, highestPoint, Botte Donato]
-
A.
Botte Donato
chosen
Botte Donato is the highest peak of the Sila mountain range in Calabria, southern Italy.
-
B.
Botti
Botti is an Italian surname most prominently associated with Grammy-winning American jazz trumpeter and composer Chris Botti.
-
C.
Calzabigi
Calzabigi is the surname of Ranieri de’ Calzabigi, an 18th-century Italian poet and librettist known for his influential collaborations with composer Christoph Willibald Gluck in reforming opera.
-
D.
Donato
Donato is the Italian given name of the Renaissance sculptor Donatello, reflecting a traditional male name meaning "given" or "gifted."
-
E.
Martino
Martino is a surname most prominently associated with Argentine football manager and former player Gerardo "Tata" Martino.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545b2b2481909049a490c97678f2 |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbf43e08190ae79f92ed5882ce2 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.