Triple
T13221687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Servius |
E314768
|
entity |
| Predicate | praenomenPosition |
P108594
|
FINISHED |
| Object | first element of Roman tria nomina |
—
|
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: first element of Roman tria nomina | Statement: [Servius, praenomenPosition, first element of Roman tria nomina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: praenomenPosition Context triple: [Servius, praenomenPosition, first element of Roman tria nomina]
-
A.
praenomenTransliteration
Indicates the transliterated form of a person's Latin praenomen (given name) from its original script into a standardized Latin-letter representation.
-
B.
praenomenLinkedDeity
Indicates that a person's praenomen (given name) is etymologically or culturally linked to, derived from, or associated with a particular deity.
-
C.
praenomenCommonlyUsed
Indicates that a particular praenomen (personal first name) is commonly used or frequently occurring within a given context or population.
-
D.
isPraenomenOf
Indicates that a given personal name functions as the praenomen (given name) of a specific individual.
-
E.
prenomen
Indicates the personal name or primary given name by which an individual is identified.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf581508190883033f0c961736a |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:18 p.m.