Triple
T36671643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenEmbedded |
E905429
|
entity |
| Predicate | supportsCustomDistributions |
P205004
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [OpenEmbedded, supportsCustomDistributions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCustomDistributions Context triple: [OpenEmbedded, supportsCustomDistributions, yes]
-
A.
hasDistributions
Indicates that an entity is associated with one or more distributions through which it is delivered, provided, or made available.
-
B.
hasDistributionType
Indicates the type or pattern of distribution associated with an entity, specifying how something is spread, allocated, or made available.
-
C.
hasDistributionVariant
Indicates that one entity is a variant or alternative form of another entity specifically in terms of its distribution characteristics or pattern.
-
D.
allowsDistribution
Indicates that one entity grants permission for another entity to distribute or disseminate something (e.g., content, products, or data).
-
E.
supportsTimeDistribution
Indicates that one entity provides or enables the allocation, scheduling, or distribution of time-related resources or events for 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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:12 p.m.