Triple
T28119071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mento |
E710724
|
entity |
| Predicate | belongsToNamingCategory |
P154642
|
FINISHED |
| Object | Roman cognomina |
—
|
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 cognomina | Statement: [Mento, belongsToNamingCategory, Roman cognomina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToNamingCategory Context triple: [Mento, belongsToNamingCategory, Roman cognomina]
-
A.
belongsToNamingTradition
Indicates that an entity is associated with or classified under a particular naming tradition or convention.
-
B.
isNameCategory
chosen
Indicates that something is classified as a particular category or type of name.
-
C.
belongsToCatalogOf
Indicates that one item is included within, or is a member of, a particular catalog or collection.
-
D.
nameElementCategory
Indicates that a given name or label belongs to, or is classified under, a particular element category.
-
E.
hasNaming
Indicates that one entity assigns, bears, or is associated with a specific name or designation provided by another entity.
- 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_69ef9b72f63081909dfbc2c1ddae86c6 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 27, 2026, 9:16 p.m.