Triple
T29928068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vespra |
E760137
|
entity |
| Predicate | usesStageSpace |
P182764
|
FINISHED |
| Object | nave of the Basilica of Santa Maria |
—
|
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: nave of the Basilica of Santa Maria | Statement: [Vespra, usesStageSpace, nave of the Basilica of Santa Maria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesStageSpace Context triple: [Vespra, usesStageSpace, nave of the Basilica of Santa Maria]
-
A.
usesStage
Indicates that one entity employs or operates on another entity at a particular phase or stage within a process or workflow.
-
B.
usesStageType
Indicates that one entity employs or operates with a particular type or category of stage.
-
C.
usedStage
Indicates that an entity made use of a particular stage or phase within a process, workflow, or lifecycle.
-
D.
usesStageEffects
Indicates that an entity employs stage-based visual, auditory, or mechanical effects as part of a performance or presentation.
-
E.
usedInStage
Indicates that something is utilized or applied during a particular stage or phase of a process or workflow.
- 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_69f224631674819080c8d089674f9f4f |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7908ec35881909a42f954fb9fa16e |
completed | May 3, 2026, 6:14 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69f78fd3fd888190b7db0b563f298585 |
completed | May 3, 2026, 6:11 p.m. |
Created at: April 29, 2026, 6:17 p.m.