Triple
T26046232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Bom Jesus do Monte |
E647839
|
entity |
| Predicate | stairwayTheme |
P160322
|
FINISHED |
| Object | Via Crucis (Way of the Cross) |
—
|
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: Via Crucis (Way of the Cross) | Statement: [Sanctuary of Bom Jesus do Monte, stairwayTheme, Via Crucis (Way of the Cross)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stairwayTheme Context triple: [Sanctuary of Bom Jesus do Monte, stairwayTheme, Via Crucis (Way of the Cross)]
-
A.
hasStairway
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
-
B.
hasStairsFacing
Indicates that one set of stairs is oriented toward or directly faces another object or direction.
-
C.
entranceTheme
Indicates the music or theme that plays when an entity makes their entrance or initial appearance.
-
D.
hasStaircaseDesigner
Indicates that an entity has another entity that is responsible for designing its staircase.
-
E.
hasStaircaseType
Indicates the specific type or design classification of a staircase associated with an entity.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6065a844c81908e04d361469aa3c5 |
completed | May 2, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 22, 2026, 9:10 a.m.