Triple
T12648454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Concordia |
E302091
|
entity |
| Predicate | deconsecrated |
P106176
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [Temple of Concordia, deconsecrated, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deconsecrated Context triple: [Temple of Concordia, deconsecrated, 18th century]
-
A.
consecrated
Indicates that an entity has been formally dedicated or made sacred for a religious or holy purpose.
-
B.
condemnation
Indicates that an entity expresses strong disapproval or denunciation of another entity, action, or situation.
-
C.
condemnedBy
Indicates that an entity is judged, denounced, or declared wrong or unacceptable by another entity.
-
D.
exorcisedBy
Indicates that an entity has had a spirit, demon, or malign supernatural influence driven out or removed by another entity.
-
E.
condemnedAs
Indicates that one entity formally or strongly denounces another entity by labeling it as wrong, guilty, or unacceptable.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960b47130819097e1162ed4fc993a |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:17 p.m.