Triple
T4968280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faetar |
E111579
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Faetano |
E482061
|
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: Faetano | Statement: [Faetar, hasAlternativeName, Faetano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faetano Context triple: [Faetar, hasAlternativeName, Faetano]
-
A.
Faetano
chosen
Faetano is one of the nine municipalities (castelli) of San Marino, a small enclave known for its historic character and position in the country’s southeastern area.
-
B.
Ilario
Ilario is a given name, primarily used in Italian and Spanish contexts, that derives from the Latin name Hilaris meaning "cheerful" or "joyful."
-
C.
Tullio
Tullio is an Italian given name most famously borne by the mathematician Tullio Levi-Civita, known for his work in tensor calculus and differential geometry.
-
D.
Ignazio
Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
-
E.
Gabriele
Gabriele is a feminine given name of Italian origin, commonly used in various European countries.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7210c8f081908e36595a12d07f64 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89fddbb8819084c8c21ee0ce845e |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:32 p.m.