Triple
T22666554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poisson’s ratio |
E559806
|
entity |
| Predicate | upperLimitForStableIsotropicLinearElasticMaterial |
P36360
|
FINISHED |
| Object | 0.5 |
—
|
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: 0.5 | Statement: [Poisson’s ratio, upperLimitForStableIsotropicLinearElasticMaterial, 0.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upperLimitForStableIsotropicLinearElasticMaterial Context triple: [Poisson’s ratio, upperLimitForStableIsotropicLinearElasticMaterial, 0.5]
-
A.
mechanicalProperty
Indicates a relationship where a mechanical characteristic (such as strength, stiffness, hardness, or elasticity) is attributed to or associated with an entity.
-
B.
hasMaximumThickness
Indicates that an entity possesses a specified upper limit on its thickness.
-
C.
upperLimit
chosen
Indicates that one entity specifies the maximum allowable value, quantity, or boundary for another entity or condition.
-
D.
isLimitOf
Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
-
E.
isDuctile
Indicates that an entity can be drawn out or stretched into a thin wire or shape without breaking.
- 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.