Triple
T12656683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ELT |
E302300
|
entity |
| Predicate | fundingOrganization |
P33009
|
FINISHED |
| Object | ESO member states |
—
|
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: ESO member states | Statement: [ELT, fundingOrganization, ESO member states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundingOrganization Context triple: [ELT, fundingOrganization, ESO member states]
-
A.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
B.
funderOf
chosen
Indicates that one entity provides financial support or funding for another entity, project, or activity.
-
C.
awardingOrganization
Indicates the organization that grants, confers, or issues an award, honor, or similar recognition to a recipient.
-
D.
contributingOrganization
Indicates an organization that plays a role in creating, supporting, or otherwise contributing to the production or provision of something.
-
E.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:18 p.m.