Triple
T9000383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memory Stick |
E215024
|
entity |
| Predicate | supportsRewriting |
P74586
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Memory Stick, supportsRewriting, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRewriting Context triple: [Memory Stick, supportsRewriting, true]
-
A.
supportsUse
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
-
B.
supportsMigrationOf
Indicates that one entity enables, facilitates, or is compatible with the migration or transfer of another entity from one environment, system, or context to another.
-
C.
supportsEditingType
chosen
Indicates that one entity enables or allows another entity to perform or handle a specified type of editing.
-
D.
supportsAt
Indicates that one entity provides assistance, endorsement, or backing to another entity in a specific context, location, or point in time.
-
E.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6954bb1881908d004a26ba7fe360 |
completed | April 1, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:05 p.m.