Triple
T6998990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California State Lottery |
E162286
|
entity |
| Predicate | fundingRecipient |
P12761
|
FINISHED |
| Object | K-12 public schools in California |
—
|
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: K-12 public schools in California | Statement: [California State Lottery, fundingRecipient, K-12 public schools in California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fundingRecipient Context triple: [California State Lottery, fundingRecipient, K-12 public schools in California]
-
A.
funderOf
Indicates that one entity provides financial support or funding for another entity, project, or activity.
-
B.
organizationRecipient
chosen
Indicates that an organization is the recipient or beneficiary of something provided, sent, or directed by another entity.
-
C.
individualRecipient
Indicates that a specific individual is the direct recipient or beneficiary of something (such as an item, message, or action).
-
D.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
E.
recipientOf
Indicates that one entity is the receiver or beneficiary of something (such as an item, message, or action) from another entity.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbf083b481909dd30e28e908dfdf |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.