Triple
T22111671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senneh knot |
E546431
|
entity |
| Predicate | shapeResult |
P4076
|
FINISHED |
| Object | produces slightly diagonal pile alignment |
—
|
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: produces slightly diagonal pile alignment | Statement: [Senneh knot, shapeResult, produces slightly diagonal pile alignment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapeResult Context triple: [Senneh knot, shapeResult, produces slightly diagonal pile alignment]
-
A.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
B.
shapeType
Indicates the specific geometric form or category that characterizes an entity’s shape.
-
C.
shapesValuesOf
Indicates that one entity influences or determines the characteristics, parameters, or magnitude of another entity’s values.
-
D.
shapeInfluencedBy
Indicates that the form or outline of one entity is affected, determined, or modified by another entity or factor.
-
E.
shaped
chosen
Indicates that one entity has given form, contour, or structure to another entity or outcome.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12949cc7881908898ca7dc130f57f |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:31 p.m.