Triple
T26046231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanctuary of Bom Jesus do Monte |
E647839
|
entity |
| Predicate | numberOfStairwaySteps |
P1275
|
FINISHED |
| Object | over 500 |
—
|
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: over 500 | Statement: [Sanctuary of Bom Jesus do Monte, numberOfStairwaySteps, over 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStairwaySteps Context triple: [Sanctuary of Bom Jesus do Monte, numberOfStairwaySteps, over 500]
-
A.
numberOfStairs
chosen
Indicates the quantity of stairs associated with or present in a given context or structure.
-
B.
numberOfStaircases
Indicates the quantity of distinct staircases associated with or present in a given entity or location.
-
C.
numberOfStepsSymbolism
Indicates the symbolic or thematic meaning associated with a specific number of steps in a sequence, process, or structure.
-
D.
numberOfStepsToSummit
Indicates the total count of steps required to reach the summit from a specified starting point.
-
E.
hasStairway
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd4f39b5008190b83b3227ce22c509 |
completed | May 8, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69fd4df17c548190a4e2a6fea70f7e10 |
completed | May 8, 2026, 2:44 a.m. |
Created at: April 22, 2026, 9:10 a.m.