Triple
T11390504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Syracuse |
E269822
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Francofonte |
E917281
|
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: Francofonte | Statement: [Province of Syracuse, contains, Francofonte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Francofonte Context triple: [Province of Syracuse, contains, Francofonte]
-
A.
Francofonte
chosen
Francofonte is a town and comune in southeastern Sicily, Italy, known for its agricultural production, particularly citrus fruits.
-
B.
Serrara Fontana
Serrara Fontana is a small hillside municipality on the Italian island of Ischia, known for its scenic views, traditional villages, and proximity to thermal springs.
-
C.
Pietrelcina
Pietrelcina is a small town in southern Italy best known as the birthplace of the Catholic mystic and saint Padre Pio.
-
D.
Pozzo
Pozzo is a domineering, bombastic landowner in Samuel Beckett’s play "Waiting for Godot," known for his cruel treatment of his servant Lucky and his later decline into blindness and dependence.
-
E.
Lamporecchio
Lamporecchio is a Tuscan town in central Italy known for its historic center, rural landscapes, and traditional pastries such as brigidini.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58c8f5ed88190b9cc55c0a73993ec |
completed | April 20, 2026, 2:16 a.m. |
Created at: April 8, 2026, 9:34 p.m.