Triple
T3265173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bent Pyramid |
E68508
|
entity |
| Predicate | lowerInclinationAngle |
P46975
|
FINISHED |
| Object | about 54 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 54 degrees | Statement: [Bent Pyramid, lowerInclinationAngle, about 54 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerInclinationAngle Context triple: [Bent Pyramid, lowerInclinationAngle, about 54 degrees]
-
A.
lowerLimit
Indicates that one value serves as the minimum or smallest allowable bound or threshold for another value or range.
-
B.
lowerValueIndicates
Indicates that a smaller numerical value of a property or measurement corresponds to a greater degree, better outcome, or stronger presence of the relevant characteristic.
-
C.
lowestPoint
Indicates that one entity is the point with the minimum vertical position or value relative to another entity or within a specified context.
-
D.
maxVerticalAngle
Indicates the greatest vertical angular difference or tilt between two entities or directions.
-
E.
elevationLowerThan
Indicates that the elevation of one entity is lower than the elevation of another 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_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. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.