Triple
T4330808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NeurIPS |
E96742
|
entity |
| Predicate | acceptsSubmissionType |
P10169
|
FINISHED |
| Object | full research paper |
—
|
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: full research paper | Statement: [NeurIPS, acceptsSubmissionType, full research paper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptsSubmissionType Context triple: [NeurIPS, acceptsSubmissionType, full research paper]
-
A.
submissionTypes
Indicates the categories or formats in which something can be submitted or has been submitted within a given context.
-
B.
acceptsSubmissionsFrom
Indicates that one entity receives and is willing to consider submissions (such as content, proposals, or applications) originating from another entity.
-
C.
submissionType
chosen
Indicates the specific category or format under which something is submitted (e.g., as a document, assignment, application, or other submission class).
-
D.
acceptedIn
Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
-
E.
submissionBasis
Indicates the basis, criteria, or grounds on which something is submitted or filed (e.g., a document, application, or claim).
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.