Triple
T30927895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venus Pompeiana |
E787906
|
entity |
| Predicate | hasSanctuaryIn |
P180259
|
FINISHED |
| Object | Pompeii |
—
|
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: Pompeii | Statement: [Venus Pompeiana, hasSanctuaryIn, Pompeii]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSanctuaryIn Context triple: [Venus Pompeiana, hasSanctuaryIn, Pompeii]
-
A.
hasSanctuary
Indicates that one entity provides or serves as a place of refuge, protection, or safe haven for another entity.
-
B.
hasSanctuaryStatus
Indicates that an entity is officially designated or recognized as a sanctuary, enjoying a protected or special status.
-
C.
isInSanctuaryWith
Indicates that two or more entities are located together within the same sanctuary or protected refuge at the same time.
-
D.
hasOuterSanctuary
Indicates that one entity serves as the outer sanctuary or outer sacred area associated with another entity.
-
E.
hasNewSanctuary
Indicates that an entity has acquired or established a new sanctuary location or protected refuge.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
| PDg | Predicate description generation | batch_69f739a58b3c81908abc2b8738a65678 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 29, 2026, 8:51 p.m.