Triple
T30382369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony G lenses |
E772864
|
entity |
| Predicate | buildMaterial |
P112810
|
FINISHED |
| Object | metal barrel on many models |
—
|
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: metal barrel on many models | Statement: [Sony G lenses, buildMaterial, metal barrel on many models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildMaterial Context triple: [Sony G lenses, buildMaterial, metal barrel on many models]
-
A.
مادة البناء
chosen
Indicates a relationship where something serves as, or is used as, a construction material in building or structural work.
-
B.
bindingMaterialComponents
Indicates that one entity serves as the material or substance used to bind, join, or hold together another entity or its components.
-
C.
ballConstruction
Indicates that an entity is involved in the process or method of constructing or manufacturing a ball.
-
D.
builder
Indicates that an entity is responsible for constructing, creating, or assembling another entity.
-
E.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from 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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6851aeb948190b674200cf6bf51f9 |
completed | May 2, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69f67e40af9881908de3a4aa15f70a83 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8 p.m.