Triple
T22666581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poisson’s ratio |
E559806
|
entity |
| Predicate | mayBeAnisotropicIn |
P118997
|
FINISHED |
| Object | composite materials |
—
|
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: composite materials | Statement: [Poisson’s ratio, mayBeAnisotropicIn, composite materials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeAnisotropicIn Context triple: [Poisson’s ratio, mayBeAnisotropicIn, composite materials]
-
A.
hasAnisotropy
chosen
Indicates that an entity exhibits direction-dependent properties or behavior, such that its characteristics vary with orientation or direction.
-
B.
hasAnisotropyParameter
Indicates that one entity is associated with a specific anisotropy parameter characterizing directional dependence in a property or behavior.
-
C.
isIsotropic
Indicates that a property or behavior is identical in all directions, showing no directional dependence.
-
D.
usesMultiaxialSystem
Indicates that one entity applies or operates according to a multiaxial classification or measurement system in relation to another entity or context.
-
E.
hasIntermediateAxisLength
Indicates that an entity is associated with a specific value representing the length of its intermediate (middle-sized) axis.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781c2c808190baf6964ca1eced6f |
completed | April 29, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:09 p.m.