Triple
T19377044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sr2CuO2Cl2 |
E484698
|
entity |
| Predicate | hasElectronicProperty |
P131197
|
FINISHED |
| Object | strong electron correlations |
—
|
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: strong electron correlations | Statement: [Sr2CuO2Cl2, hasElectronicProperty, strong electron correlations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectronicProperty Context triple: [Sr2CuO2Cl2, hasElectronicProperty, strong electron correlations]
-
A.
hasElectronicsFeature
Indicates that an entity possesses or is characterized by a specific electronic-related feature or capability.
-
B.
hasElectronicCharacter
chosen
Indicates that something possesses qualities, properties, or behavior associated with electronics or electronic systems.
-
C.
hasElectricalProperty
Indicates that an entity possesses a specific electrical characteristic or behavior, such as conductivity, resistance, or charge-related properties.
-
D.
hasDigitalSystem
Indicates that an entity possesses, uses, or is equipped with a digital system (such as software, hardware, or an integrated digital platform).
-
E.
isMechanicalOrElectronic
Indicates that something operates using mechanical components, electronic components, or a combination of both.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5cfbf48190ac60e3ffa6baa263 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.