Triple
T1341476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Food Stamp Act of 1964 |
E28472
|
entity |
| Predicate | madeProgram |
P27366
|
FINISHED |
| Object | permanent |
—
|
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: permanent | Statement: [Food Stamp Act of 1964, madeProgram, permanent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeProgram Context triple: [Food Stamp Act of 1964, madeProgram, permanent]
-
A.
createdProgram
Indicates that an entity authored, developed, or produced a particular program (such as software or a coded application).
-
B.
implementedProgram
Indicates that an entity has created, developed, or put into operation a particular program or software system.
-
C.
program
Indicates that an entity creates, writes, or develops a computer program or software application.
-
D.
programOn
Indicates that a program is scheduled to be broadcast or presented on a particular channel, station, platform, or device.
-
E.
componentProgram
Indicates that one entity is a component or module that forms part of a larger program or software system represented by the other 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c215fc008190b01fd8150b9f3b2a |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:56 p.m.