Triple
T2706058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapton |
E59343
|
entity |
| Predicate | hasElectricalProperty |
P42114
|
FINISHED |
| Object | low dielectric 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: low dielectric constant | Statement: [Kapton, hasElectricalProperty, low dielectric constant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectricalProperty Context triple: [Kapton, hasElectricalProperty, low dielectric constant]
-
A.
hasElectricCharge
Indicates that an entity possesses a nonzero electric charge as a physical property.
-
B.
usesElectricalPlug
Indicates that one entity operates by being connected to another entity via an electrical plug.
-
C.
hasElectrode
Indicates that one entity is equipped with, contains, or is associated with an electrode component.
-
D.
electricalConductivity
Indicates that one entity has the ability to conduct electric current through it, typically quantified as a measure of how easily charge flows within that material or medium.
-
E.
isMechanicalOrElectronic
Indicates that something operates using mechanical components, electronic components, or a combination of both.
- F. None of above. chosen
Provenance (4 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda559a908190ad5d92c11a398a03 |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd82062988190b4292f242ad70b2c |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd9ceec708190aa162399023b2273 |
completed | March 7, 2026, 7:54 a.m. |
Created at: March 6, 2026, 9:55 p.m.