Triple
T4814411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purgatorio |
E107151
|
entity |
| Predicate | settingRelativeToInferno |
P1957
|
FINISHED |
| Object | located on the opposite side of the Earth from Jerusalem |
—
|
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: located on the opposite side of the Earth from Jerusalem | Statement: [Purgatorio, settingRelativeToInferno, located on the opposite side of the Earth from Jerusalem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingRelativeToInferno Context triple: [Purgatorio, settingRelativeToInferno, located on the opposite side of the Earth from Jerusalem]
-
A.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
B.
settingOfConflict
Indicates the location or context in which a conflict between entities takes place.
-
C.
settingOfMyth
Indicates that a location or environment serves as the backdrop or context in which a particular myth takes place.
-
D.
underFire
Indicates that an entity is being attacked, heavily criticized, or subjected to intense pressure by another entity or group.
-
E.
turretPlacement
Indicates the spatial or positional relationship defining where a turret is placed relative to its environment or reference objects.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:23 p.m.