Triple
T34492584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zanjan knives |
E885506
|
entity |
| Predicate | sharpeningMethod |
P84823
|
FINISHED |
| Object | hand sharpening on stones |
—
|
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: hand sharpening on stones | Statement: [Zanjan knives, sharpeningMethod, hand sharpening on stones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharpeningMethod Context triple: [Zanjan knives, sharpeningMethod, hand sharpening on stones]
-
A.
sharpeningType
chosen
Indicates the method or style by which something is sharpened or made sharper.
-
B.
sharpnessCondition
Indicates the condition or degree of sharpness that something possesses or is required to have.
-
C.
finishingMethod
Indicates the technique or process used to complete or finalize an object, task, or work.
-
D.
sharpnessWitnessedBy
Indicates that the sharpness of an object or edge is observed, perceived, or recorded by a particular witness or observer.
-
E.
bladeEdgeType
Indicates the specific form or style of the cutting edge present on a blade.
- 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_69f349cafcec8190997b45b3fdc16c27 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.