Triple
T35332256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloch wall |
E1020352
|
entity |
| Predicate | hasApproximateThickness |
P169229
|
FINISHED |
| Object | proportional to square root of exchange stiffness over anisotropy constant |
—
|
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: proportional to square root of exchange stiffness over anisotropy constant | Statement: [Bloch wall, hasApproximateThickness, proportional to square root of exchange stiffness over anisotropy constant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateThickness Context triple: [Bloch wall, hasApproximateThickness, proportional to square root of exchange stiffness over anisotropy constant]
-
A.
hasApproximateAverageThickness
chosen
Indicates that an entity possesses a thickness value that is an estimated or typical average rather than an exact measurement.
-
B.
hasThicknessRange
Indicates that an entity is associated with a minimum and maximum thickness value defining the range of its thickness.
-
C.
hasMaximumThickness
Indicates that an entity possesses a specified upper limit on its thickness.
-
D.
hasDimensionsApprox
Indicates that an entity has physical dimensions that are known only approximately, rather than as exact measurements.
-
E.
thickerThan
Indicates that one entity has a greater thickness (is more thick) than another entity.
- 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_69f76deacf4481908e7735a5a7715b0a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: May 3, 2026, 4:03 p.m.