Triple
T29986538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | open science movement |
E761748
|
entity |
| Predicate | encouragesPolicy |
P1086
|
FINISHED |
| Object | mandates for open access to funded research |
—
|
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: mandates for open access to funded research | Statement: [open science movement, encouragesPolicy, mandates for open access to funded research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encouragesPolicy Context triple: [open science movement, encouragesPolicy, mandates for open access to funded research]
-
A.
encourages
Indicates actively motivating, supporting, or giving confidence to another entity to pursue an action, behavior, or state.
-
B.
recommendedPolicy
Indicates that one entity suggests or endorses a particular policy for another entity or situation.
-
C.
supportsPolicy
chosen
Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
-
D.
depictedAsEncouraging
Indicates that one entity is portrayed or represented as giving support, confidence, or motivation to another entity.
-
E.
settlementEncouragedBy
Indicates that the establishment or growth of a settlement is promoted, supported, or stimulated by a particular factor, agent, or condition.
- 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_69f2246851148190b8e76206db94b105 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67915bf008190b87d771e157bd3c8 |
completed | May 2, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 6:36 p.m.