Triple
T689257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scratch Foundation |
E13353
|
entity |
| Predicate | supportsFreeUseOfScratch |
P18262
|
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: [Scratch Foundation, supportsFreeUseOfScratch, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsFreeUseOfScratch Context triple: [Scratch Foundation, supportsFreeUseOfScratch, true]
-
A.
supportsUse
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
-
B.
eligibleUses
Indicates the types of actions, purposes, or contexts in which something is permitted or qualified to be used.
-
C.
usedSupport
Indicates that one entity employed or relied on another entity as a means of support or assistance in performing an action or achieving a result.
-
D.
canUse
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
E.
canBeUsedOver
Indicates that one entity is suitable or valid for use in place of, or in relation to, another entity.
- F. None of above. chosen
Provenance (4 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0f55f7481909e052a25bd12d455 |
completed | March 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a49d2048d48190ab99ab59accb6909 |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a4a0f405748190ba72a9cfe946a8ec |
completed | March 1, 2026, 8:26 p.m. |
Created at: March 1, 2026, 7:36 p.m.