Triple
T36296900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Minerva (Rome) |
E893393
|
entity |
| Predicate | deityEquivalent |
P126907
|
FINISHED |
| Object | Greek goddess Athena |
—
|
NE NERFINISHED |
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: Greek goddess Athena | Statement: [Temple of Minerva (Rome), deityEquivalent, Greek goddess Athena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deityEquivalent Context triple: [Temple of Minerva (Rome), deityEquivalent, Greek goddess Athena]
-
A.
comparableDeity
chosen
Indicates that one deity is considered comparable to another in terms of role, attributes, status, or function.
-
B.
deityIdentification
Indicates that one entity is identified, recognized, or designated as a deity in relation to another entity or context.
-
C.
deityCategory
Indicates that one entity is classified as belonging to a particular category or type of deity in relation to another entity.
-
D.
equivalentInGreekReligion
Indicates that two religious figures, concepts, or practices are counterparts or direct analogues of each other within the context of Greek religion.
-
E.
closelyAssociatedDeity
Indicates a deity that is strongly connected or frequently linked to another entity, such as a person, place, object, or concept, through special association or significance.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.