Triple
T21179708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virtuti Militari |
E521911
|
entity |
| Predicate | grammaticalCaseOfVirtuti |
P143182
|
FINISHED |
| Object | dative singular |
—
|
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: dative singular | Statement: [Virtuti Militari, grammaticalCaseOfVirtuti, dative singular]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grammaticalCaseOfVirtuti Context triple: [Virtuti Militari, grammaticalCaseOfVirtuti, dative singular]
-
A.
grammaticalCaseOfJesu
Indicates the grammatical case in which the name or form of "Jesu" appears within a given linguistic or textual context.
-
B.
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.
-
C.
grammaticalCaseOf_Dei
Indicates that one entity specifies the grammatical case associated with the word or expression represented by the other entity.
-
D.
numberOfGrammaticalCases
Indicates the relationship that specifies how many distinct grammatical cases a language or linguistic system possesses.
-
E.
grammaticalCaseOf_Donum
Indicates that a specified grammatical case is associated with or applied to the word “Donum.”
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301c842c8190b969a8b3f194003a |
completed | April 21, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 3:01 p.m.