Triple
T10025487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reitia |
E200712
|
entity |
| Predicate | possibleInterpretatioRomana |
P91771
|
FINISHED |
| Object | association with Roman goddesses |
—
|
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: association with Roman goddesses | Statement: [Reitia, possibleInterpretatioRomana, association with Roman goddesses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleInterpretatioRomana Context triple: [Reitia, possibleInterpretatioRomana, association with Roman goddesses]
-
A.
preRomanLanguage
Indicates that a language existed or was used in a region before the arrival or dominance of Roman rule or the Latin language.
-
B.
underRomanRule
Indicates that one entity was politically controlled or governed by the Roman state or its authorities.
-
C.
romanNomen
Indicates that an entity has a specific Roman nomen, i.e., the clan or gens name within the traditional Roman naming system.
-
D.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
E.
disputedInterpretation
Indicates that there is disagreement or contention over how something should be understood, interpreted, or explained.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcde2009081908eddda7813617df4 |
completed | April 2, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:53 p.m.