Triple
T268387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ristorante Caterina de’ Medici |
E5782
|
entity |
| Predicate | languageOfMenu |
P3681
|
FINISHED |
| Object | English |
—
|
LITERAL 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: English | Statement: [Ristorante Caterina de’ Medici, languageOfMenu, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMenu Context triple: [Ristorante Caterina de’ Medici, languageOfMenu, English]
-
A.
languageBranch
Indicates that one language belongs to, or is classified under, a broader linguistic branch or subgroup.
-
B.
languageVariant
Indicates that one language is a variant, dialect, or localized form of another language.
-
C.
languageOfInterface
Indicates the language used by or presented in a user interface.
-
D.
presentedInLanguage
chosen
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
E.
languageForm
Indicates the specific linguistic form or expression in which something is conveyed or represented.
- F. None of above.
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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b70d99c819085d8381a313a2a34 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.