Triple
T23433158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fra Giovanni da Fiesole |
E563385
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Cortona |
—
|
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: Cortona | Statement: [Fra Giovanni da Fiesole, workLocation, Cortona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cortona Context triple: [Fra Giovanni da Fiesole, workLocation, Cortona]
-
A.
Cortona
chosen
Cortona is an ancient hilltop town in Tuscany, Italy, historically significant as one of the principal cities of the Etruscan civilization.
-
B.
Civita
Civita was the principal town and administrative center of the medieval Judicate of Gallura in northeastern Sardinia.
-
C.
Civita
Civita is a picturesque Arbëreshë (Albanian-Italian) hill town in southern Italy known for its historic stone architecture and dramatic views over the Raganello Gorge.
-
D.
Fiesole
Fiesole is a historic hilltop town overlooking Florence in Tuscany, Italy, known for its Etruscan and Roman remains and its role as a Renaissance artistic center.
-
E.
Civitaquana
Civitaquana is a small Italian municipality 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 (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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5d9f0d48190903f43d044bcf2dd |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:49 p.m.