Triple
T36859645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitworth standard screw thread |
E910896
|
entity |
| Predicate | geometryBasis |
P145444
|
FINISHED |
| Object | equilateral triangle with 55-degree included angle |
—
|
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: equilateral triangle with 55-degree included angle | Statement: [Whitworth standard screw thread, geometryBasis, equilateral triangle with 55-degree included angle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geometryBasis Context triple: [Whitworth standard screw thread, geometryBasis, equilateral triangle with 55-degree included angle]
-
A.
boundaryBasis
Indicates that one entity serves as a foundational or defining boundary for another entity.
-
B.
geometricFeature
chosen
Indicates a relationship where one entity possesses or is characterized by a specific geometric property, shape, or structural feature.
-
C.
geometricSetting
Indicates the spatial or geometric context within which an object, relation, or event is defined or occurs.
-
D.
basisType
Indicates the type or category of foundational support or underlying structure on which something is based.
-
E.
testGeometry
Indicates that an entity is involved in evaluating, validating, or analyzing geometric properties, shapes, or spatial relationships.
- 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.