Triple
T37769035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy S6 Edge |
E941490
|
entity |
| Predicate | bodyFrameMaterial |
P1272
|
FINISHED |
| Object | aluminum |
—
|
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: aluminum | Statement: [Samsung Galaxy S6 Edge, bodyFrameMaterial, aluminum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyFrameMaterial Context triple: [Samsung Galaxy S6 Edge, bodyFrameMaterial, aluminum]
-
A.
bodySideMaterial
Indicates that one entity is the material from which the side portion of another entity’s body is made.
-
B.
earsMaterial
Indicates that the material composition of an entity’s ears is a specified substance or material.
-
C.
airframeMaterialClass
Indicates the material classification used in constructing an airframe.
-
D.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
-
E.
materialOptions
Indicates that there are one or more possible materials that can be chosen or applied in relation to a given entity or context.
- 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaf1c5a588190b213d1a22511e298 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:19 p.m.