Triple
T3265174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bent Pyramid |
E68508
|
entity |
| Predicate | upperInclinationAngle |
P25297
|
FINISHED |
| Object | about 43 degrees |
—
|
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: about 43 degrees | Statement: [Bent Pyramid, upperInclinationAngle, about 43 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperInclinationAngle Context triple: [Bent Pyramid, upperInclinationAngle, about 43 degrees]
-
A.
maxVerticalAngle
Indicates the greatest vertical angular difference or tilt between two entities or directions.
-
B.
upperLimit
Indicates that one entity specifies the maximum allowable value, quantity, or boundary for another entity or condition.
-
C.
hasIncline
chosen
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
D.
terminusUpper
Indicates that one entity serves as the upper or final endpoint (terminus) of another entity, such as a route, segment, or ordered structure.
-
E.
above
Indicates that one entity is positioned higher than another along a vertical axis, without implying direct contact.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcb2da08190a7f4fefdfe6d0098 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.