Triple
T9337847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoning of the Devil |
E224689
|
entity |
| Predicate | maximumPebblesUsed |
P29667
|
FINISHED |
| Object | 70 |
—
|
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: 70 | Statement: [Stoning of the Devil, maximumPebblesUsed, 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumPebblesUsed Context triple: [Stoning of the Devil, maximumPebblesUsed, 70]
-
A.
numberOfStones
Indicates the quantitative count of stones associated with a given entity or context.
-
B.
maximumNumber
chosen
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
C.
numberOfBricksUsed
Indicates the quantity of bricks that were utilized in constructing or forming something.
-
D.
numberOfPeaks
Indicates the count of distinct peak points or maximum values present within a given entity or dataset.
-
E.
largestPartIn
Indicates that one entity is the largest component or segment contained within another entity.
- 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_69ca84286fcc81909f6e7fd7a7e862a2 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37f312408190b5501432a6a855b7 |
completed | April 1, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:40 p.m.