Triple
T27592488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KubeCon + CloudNativeCon |
E699813
|
entity |
| Predicate | sponsorsInclude |
P1807
|
FINISHED |
| Object | cloud providers |
—
|
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: cloud providers | Statement: [KubeCon + CloudNativeCon, sponsorsInclude, cloud providers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsorsInclude Context triple: [KubeCon + CloudNativeCon, sponsorsInclude, cloud providers]
-
A.
includesSponsorship
Indicates that one entity’s involvement, agreement, or arrangement explicitly involves sponsorship provided by another entity.
-
B.
sponsors
chosen
Indicates that one entity provides financial or material support to another, often in exchange for association, promotion, or fulfillment of certain activities or goals.
-
C.
hasSponsor
Indicates that one entity financially or otherwise supports another entity, typically in exchange for recognition or other benefits.
-
D.
sponsoredIn
Indicates that one entity provides financial or material support for another entity’s participation, presence, or activity within a particular context, event, or medium.
-
E.
sponsorInHouse
Indicates that one entity formally supports, promotes, or funds another entity within the same organization, institution, or internal setting.
- 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_69ef6a4d71f081909a1235763206b691 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 2:05 p.m.