Triple
T31959561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voltumna |
E815996
|
entity |
| Predicate | possibleAspect |
P178844
|
FINISHED |
| Object | chthonic deity |
—
|
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: chthonic deity | Statement: [Voltumna, possibleAspect, chthonic deity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleAspect Context triple: [Voltumna, possibleAspect, chthonic deity]
-
A.
uniqueAspect
Indicates that the subject possesses a distinctive feature or characteristic that sets it apart from others.
-
B.
coversAspect
Indicates that one entity addresses, includes, or deals with a particular aspect or facet of another entity or topic.
-
C.
onAspect
Indicates that one entity is positioned on a particular side, surface, or facet of another entity.
-
D.
presentAspect
Indicates that an action, state, or event is occurring in the present time frame, often with ongoing or current relevance.
-
E.
validatedAspectOf
Indicates that one entity has been checked or confirmed as a correct, acceptable, or compliant aspect or component of another entity.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: May 1, 2026, 12:08 a.m.