Triple
T23286379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faradda dei Candelieri |
E588997
|
entity |
| Predicate | languageOfTradition |
P1114
|
FINISHED |
| Object | Sassarese |
—
|
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: Sassarese | Statement: [Faradda dei Candelieri, languageOfTradition, Sassarese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sassarese Context triple: [Faradda dei Candelieri, languageOfTradition, Sassarese]
-
A.
Sassarese
chosen
Sassarese is a Romance language variety spoken in and around the city of Sassari in northern Sardinia, influenced by both Sardinian and Corsican-Ligurian linguistic features.
-
B.
Carrarese
Carrarese is an Italian professional football club based in Carrara, Tuscany, known for competing primarily in the lower tiers of the Italian league system.
-
C.
Reggiana
Reggiana is an Italian football club based in Reggio Emilia, historically known for competing in the country’s professional leagues.
-
D.
Pesarese
Pesarese refers to a person or thing originating from or related to the Italian city of Pesaro.
-
E.
Sassuolo
Sassuolo is an Italian town in the Emilia-Romagna region, known for its ceramics industry and football club U.S. Sassuolo Calcio.
- 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19647178c8190bbca5da38472ce05 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 4:59 p.m.