Triple
T18815834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | beryllium |
E460131
|
entity |
| Predicate | poissonsRatio |
P58822
|
FINISHED |
| Object | low |
—
|
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: low | Statement: [beryllium, poissonsRatio, low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: poissonsRatio Context triple: [beryllium, poissonsRatio, low]
-
A.
mechanicalProperty
chosen
Indicates a relationship where a mechanical characteristic (such as strength, stiffness, hardness, or elasticity) is attributed to or associated with an entity.
-
B.
dielectricConstant
Indicates the relationship where a material is characterized by its dielectric constant, quantifying how strongly it permits and affects the formation of an electric field within it relative to vacuum.
-
C.
porosity
Indicates the degree to which a material or structure contains voids or pores relative to its total volume.
-
D.
isProportionalityFactorIn
Indicates that one quantity serves as the proportionality factor (constant of proportionality) in a specified proportional relationship or equation.
-
E.
radiusRatio
Indicates the proportional relationship between one radius and another, typically expressing how large one is relative to the other.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3e092e081908fc310c70f646e79 |
completed | April 20, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.