Triple
T20404052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dei Donum (Gift of God) |
E500414
|
entity |
| Predicate | grammaticalCaseOf_Dei |
P140011
|
FINISHED |
| Object | genitive |
—
|
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: genitive | Statement: [Dei Donum (Gift of God), grammaticalCaseOf_Dei, genitive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grammaticalCaseOf_Dei Context triple: [Dei Donum (Gift of God), grammaticalCaseOf_Dei, genitive]
-
A.
grammaticalCaseSystem
Indicates a relationship where a language employs a system of grammatical cases to mark the roles and relationships of nouns and related elements in sentences.
-
B.
grammaticalCaseOfJesu
Indicates the grammatical case in which the name or form of "Jesu" appears within a given linguistic or textual context.
-
C.
numberOfGrammaticalCases
Indicates the relationship that specifies how many distinct grammatical cases a language or linguistic system possesses.
-
D.
grammaticalCaseOfFuturi
Indicates that something specifies the grammatical case associated with a future tense form or construction.
-
E.
grammaticalPerson
Indicates the grammatical role of a participant in speech (such as first, second, or third person) in relation to the speaker and listener.
- F. None of above. chosen
Provenance (4 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6799080cc819096dc31f41d1d7b49 |
completed | April 20, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69e5765d7cb48190adec18d6d1e3d263 |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:29 a.m.