Triple
T9727232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ínsula Barataria |
E235644
|
entity |
| Predicate | natureOfGrant |
P90689
|
FINISHED |
| Object | prank |
—
|
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: prank | Statement: [Ínsula Barataria, natureOfGrant, prank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: natureOfGrant Context triple: [Ínsula Barataria, natureOfGrant, prank]
-
A.
funderType
Indicates the category or kind of organization or individual that provides funding in the relationship.
-
B.
grantmakingType
Indicates the specific category or method by which grants are awarded or administered in a grantmaking relationship.
-
C.
grantProgram
Indicates that an entity administers or is associated with a structured grant-based funding program.
-
D.
relatedGrantScheme
Indicates that there is an associated grant scheme that is relevant or linked to the subject entity.
-
E.
scholarshipType
Indicates the specific category or kind of scholarship associated with an 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7af544819090a8a1adec41943c |
completed | April 1, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd07c5c978819084abc7267a5ced80 |
completed | April 1, 2026, 11:55 a.m. |
Created at: March 30, 2026, 8:21 p.m.