Triple
T24487741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvari steps |
E617556
|
entity |
| Predicate | hasChapelAtTop |
P114449
|
FINISHED |
| Object | Oratori del Calvari |
—
|
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: Oratori del Calvari | Statement: [Calvari steps, hasChapelAtTop, Oratori del Calvari]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChapelAtTop Context triple: [Calvari steps, hasChapelAtTop, Oratori del Calvari]
-
A.
hasChapelLocation
chosen
Indicates that one entity serves as the physical location or site where a chapel associated with another entity is situated.
-
B.
hasChapelDecoration
Indicates that a chapel possesses or features a particular decorative element or ornamentation.
-
C.
hasChapelStyle
Indicates that a chapel possesses or is characterized by a particular architectural or stylistic design.
-
D.
hasChapelCountApprox
Indicates an approximate number of chapels associated with an entity.
-
E.
hasChapelNearby
Indicates that one entity is located close to or in the vicinity of a chapel.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.