Triple
T42259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europe |
E833
|
entity |
| Predicate | hasMajorLanguage |
P207
|
FINISHED |
| Object | Italian |
E3588
|
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: Italian | Statement: [Europe, hasMajorLanguage, Italian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Italian Context triple: [Europe, hasMajorLanguage, Italian]
-
A.
Italian language
chosen
The Italian language is a Romance language spoken primarily in Italy and parts of Switzerland, known for its Latin roots, melodic sound, and central role in art, music, and culinary culture.
-
B.
Italy
Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
-
C.
Italian Market
Italian Market is a historic open-air market district in South Philadelphia renowned for its Italian-American heritage, food shops, and diverse eateries.
-
D.
Italian lira
The Italian lira was Italy’s pre-euro national currency, used for centuries until it was replaced by the euro in 2002.
-
E.
Vulgar Latin
Vulgar Latin was the everyday, non-standard form of Latin spoken by common people in the Roman Empire, from which the Romance languages later evolved.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24ae236548190bd225d125f23e6c7 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255338b6c8190bb31101691ce689a |
completed | Feb. 28, 2026, 2:38 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.