Triple
T23844986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smiling Buddha |
E591093
|
entity |
| Predicate | testShaftDepth |
P110064
|
FINISHED |
| Object | approximately 107 meters |
—
|
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: approximately 107 meters | Statement: [Smiling Buddha, testShaftDepth, approximately 107 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testShaftDepth Context triple: [Smiling Buddha, testShaftDepth, approximately 107 meters]
-
A.
testDepth
Indicates that an entity is evaluated or measured based on how deep or thorough it is, often in terms of levels, layers, or extent below a surface or baseline.
-
B.
drillDepth
chosen
Indicates the measured or specified depth to which a drilling operation extends into a material or medium.
-
C.
shaftHeight
Indicates the vertical extent or length of a shaft from its base to its top.
-
D.
saddleDepth
Indicates the measured vertical distance or depth of a saddle-shaped feature between its highest surrounding points.
-
E.
typicalShaftType
Indicates the usual or characteristic type of shaft associated with an entity or configuration.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c88a4b948190989a261e79b996a6 |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:09 p.m.