Triple
T21514884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luca Fancelli |
E530816
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Settignano |
—
|
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: Settignano | Statement: [Luca Fancelli, placeOfBirth, Settignano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Settignano Context triple: [Luca Fancelli, placeOfBirth, Settignano]
-
A.
Settignano
chosen
Settignano is a historic hillside village near Florence, Italy, known for its stone quarries, Renaissance artistic heritage, and scenic views over the Arno valley.
-
B.
Poggiardo
Poggiardo is a small town in the Apulia region of southern Italy, known for its archaeological sites and traditional Salento culture.
-
C.
Cossignano
Cossignano is a small historic town in Italy’s Marche region, known for its medieval architecture and scenic hilltop setting.
-
D.
Ponzano di Fermo
Ponzano di Fermo is a small Italian municipality in the Marche region known for its rural landscape and traditional hilltop village character.
-
E.
Orzinuovi
Orzinuovi is a town and comune in the province of Brescia in the Lombardy region of northern Italy.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea89b6e48190ac4ea139b895714f |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.