Triple
T34197493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nulli Secundus |
E877281
|
entity |
| Predicate | nulliBasicMeaning |
P178697
|
FINISHED |
| Object | to none |
—
|
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: to none | Statement: [Nulli Secundus, nulliBasicMeaning, to none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nulliBasicMeaning Context triple: [Nulli Secundus, nulliBasicMeaning, to none]
-
A.
basicMeaning
Indicates that one entity expresses or conveys the fundamental or core meaning of another entity.
-
B.
oniMeaning
Indicates that one entity expresses or conveys the meaning or sense of another entity (such as a word, phrase, or symbol).
-
C.
b1Meaning
Indicates that one entity represents the primary or first meaning or interpretation associated with another entity.
-
D.
typicalMeaning
Indicates that something represents the usual, characteristic, or most common meaning or interpretation associated with something else.
-
E.
logicalMeaning
Indicates that one entity expresses, encodes, or conveys the logical content, implication, or formal meaning of another.
- 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_69f713bfdc148190a249a7874320bab8 |
completed | May 3, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f7135fa2988190a20a94cfe616d754 |
completed | May 3, 2026, 9:20 a.m. |
Created at: May 1, 2026, 1:55 a.m.