Triple
T11757651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blueberry |
E279565
|
entity |
| Predicate | usedOnProductType |
P44687
|
FINISHED |
| Object | desktop computer casing |
—
|
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: desktop computer casing | Statement: [Blueberry, usedOnProductType, desktop computer casing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedOnProductType Context triple: [Blueberry, usedOnProductType, desktop computer casing]
-
A.
appliesToProductType
chosen
Indicates that something (such as a rule, offer, or condition) is relevant or applicable specifically to a certain type or category of product.
-
B.
usedOn
Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
-
C.
usesProduct
Indicates that one entity makes use of, applies, or employs a particular product.
-
D.
usedOnMode
Indicates that something is applied, operated, or functions specifically in a given mode or operational setting.
-
E.
usedInProductLine
Indicates that something (such as a component, material, or feature) is utilized within a particular product line.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50c8d708190ad79ecb57b715d04 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a829fe481909cc5431de7d6058e |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.