Triple
T32141477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navarro–Frenk–White profile |
E820913
|
entity |
| Predicate | outerSlope |
P173619
|
FINISHED |
| Object | −3 |
—
|
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: −3 | Statement: [Navarro–Frenk–White profile, outerSlope, −3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outerSlope Context triple: [Navarro–Frenk–White profile, outerSlope, −3]
-
A.
outerSurface
Indicates that one entity forms the external boundary or outermost layer of another entity.
-
B.
wallSlope
Indicates the angle or steepness of a wall surface relative to a reference plane (typically horizontal or vertical).
-
C.
upperSlopeAngle
Indicates the angle of the slope on the upper portion of an object or surface relative to a reference plane or direction.
-
D.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
E.
usesIntermediateSlope
Indicates that an entity employs or operates on a slope of intermediate steepness as part of its process or behavior.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b9aed8c881908214b59cb895fa65 |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
| PDg | Predicate description generation | batch_69f6b49339048190b617a6749f648825 |
completed | May 3, 2026, 2:36 a.m. |
Created at: May 1, 2026, 12:30 a.m.