Triple
T5324162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Food Service Program |
E121745
|
entity |
| Predicate | permanentAuthorizationYear |
P7919
|
FINISHED |
| Object | 1975 |
—
|
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: 1975 | Statement: [Summer Food Service Program, permanentAuthorizationYear, 1975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permanentAuthorizationYear Context triple: [Summer Food Service Program, permanentAuthorizationYear, 1975]
-
A.
authorizationYear
chosen
Indicates the year in which an official approval, permission, or authorization for something was granted.
-
B.
licenseExpirationYear
Indicates the calendar year in which a given license ceases to be valid or legally effective.
-
C.
yearOfPermanentResidency
Indicates the specific year in which an entity began or was granted permanent residency in a particular place.
-
D.
ownershipPeriod
Indicates the span of time during which an entity holds ownership rights over another entity.
-
E.
registrationPeriod
Indicates the time span during which registration for something is open or valid.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.