Triple
T3344379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulpius |
E70334
|
entity |
| Predicate | onamasticCategory |
P19470
|
FINISHED |
| Object | Roman gentilicum |
—
|
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: Roman gentilicum | Statement: [Ulpius, onamasticCategory, Roman gentilicum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onamasticCategory Context triple: [Ulpius, onamasticCategory, Roman gentilicum]
-
A.
sportCategory
Indicates that one entity is classified as a type or category of sport to which the other entity (typically a specific sport or sporting event) belongs.
-
B.
raceCategory
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
C.
onomaType
chosen
Indicates a classification or type relationship associated with a name or designation between entities.
-
D.
canonicalCategory
Indicates that an entity is assigned to its primary or standard category within a classification system.
-
E.
rankingCategory
Indicates the classification or type of ranking under which an entity is evaluated or ordered.
- F. None of above.
Provenance (3 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f23008819084ea68b8431c50ab |
completed | March 8, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.