Triple
T26041083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris |
E647691
|
entity |
| Predicate | dieDesignBasedOn |
P23439
|
FINISHED |
| Object | Athlon 64 K8 core |
—
|
NE NERFINISHED |
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: Athlon 64 K8 core | Statement: [Paris, dieDesignBasedOn, Athlon 64 K8 core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dieDesignBasedOn Context triple: [Paris, dieDesignBasedOn, Athlon 64 K8 core]
-
A.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
B.
basedOnDesignBy
Indicates that something is created, developed, or structured according to the design conceived or produced by a specified entity.
-
C.
designCheck
Indicates that an entity performs a review or verification of a design to ensure it meets specified requirements or standards.
-
D.
designsFor
Indicates that one entity creates or plans something specifically intended to serve, suit, or be used by another entity.
-
E.
designedWith
chosen
Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60622ddf48190b95318ea7a3676ce |
completed | May 2, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9:08 a.m.