Triple
T3183937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margarita |
E66654
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Margherita |
E100329
|
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: Margherita | Statement: [Margarita, hasVariantForm, Margherita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margherita Context triple: [Margarita, hasVariantForm, Margherita]
-
A.
Margherita
chosen
Margherita is the Italian form of the female given name Margaret, commonly used in Italy and other Italian-speaking communities.
-
B.
pizza Margherita
Pizza Margherita is a classic Italian pizza topped with tomatoes, mozzarella, fresh basil, and olive oil, symbolizing the colors of the Italian flag.
-
C.
Caprese
Caprese is a small Tuscan village in Italy best known as the birthplace of the Renaissance artist Michelangelo.
-
D.
Neapolitan
Neapolitan is a Romance language spoken in and around Naples and much of southern Italy, known for its distinct phonology, vocabulary, and rich literary and musical traditions.
-
E.
Alfredo
Alfredo is a masculine given name, commonly used in Italian, Spanish, and Portuguese-speaking countries, derived from the name Alfred.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6bfc4248190af320471688c60f0 |
completed | March 8, 2026, 4:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2360079e4819085ee8b6553e3da02 |
completed | March 12, 2026, 3:41 a.m. |
Created at: March 8, 2026, 3:06 p.m.