Triple
T34197489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nulli Secundus |
E877281
|
entity |
| Predicate | nulliCaseNumberGender |
P178514
|
FINISHED |
| Object | dative plural |
—
|
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 plural | Statement: [Nulli Secundus, nulliCaseNumberGender, dative plural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nulliCaseNumberGender Context triple: [Nulli Secundus, nulliCaseNumberGender, dative plural]
-
A.
nulliusCase
Indicates that something is expressed in the genitive case used with the Latin word *nullius* (“of no one” / “of nothing”), marking a relationship of possession, origin, or association with nonexistence or absence.
-
B.
hasNoGrammaticalGender
Indicates that the referenced entity or term is not associated with any grammatical gender category in the relevant language system.
-
C.
hasGenderNeutrality
Indicates that something (such as a term, form, or expression) is neutral with respect to gender and does not specify or imply any particular gender.
-
D.
caseNumber
Indicates the unique identifying number assigned to a particular legal or administrative case.
-
E.
namedForGender
Indicates that one entity is named in a way that reflects or is derived from a particular gender or gender-related characteristic of another entity.
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.