Triple
T20221309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 6 Plus |
E495260
|
entity |
| Predicate | glassProtection |
P104024
|
FINISHED |
| Object | ion-strengthened glass |
—
|
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: ion-strengthened glass | Statement: [iPhone 6 Plus, glassProtection, ion-strengthened glass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glassProtection Context triple: [iPhone 6 Plus, glassProtection, ion-strengthened glass]
-
A.
glassType
chosen
Indicates the specific kind or category of glass associated with or used by an entity.
-
B.
glassPreparation
Indicates the method or process by which a glass is prepared or set up for use in a given context.
-
C.
glazingType
Indicates the type or configuration of glazing (such as single, double, or special coatings) used in or applied to an element.
-
D.
hasBulletproofGlass
Indicates that an object or structure is equipped with bulletproof glass as a protective feature.
-
E.
windscreen
Indicates that one entity serves as the windscreen (protective transparent barrier, typically at the front of a vehicle or device) for another entity.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd610f881908fdd22b1f8bd2efc |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.