Triple
T5794198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 101-625 |
E128466
|
entity |
| Predicate | strengthenedProgram |
P51678
|
FINISHED |
| Object | federal homeless assistance programs |
—
|
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: federal homeless assistance programs | Statement: [Public Law 101-625, strengthenedProgram, federal homeless assistance programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strengthenedProgram Context triple: [Public Law 101-625, strengthenedProgram, federal homeless assistance programs]
-
A.
establishedProgram
Indicates that an entity has created and put into operation a formal program that is now in an active, ongoing state.
-
B.
adoptedProgramme
Indicates that an entity has formally accepted and put into practice a specific programme or plan.
-
C.
extendsProgramsOf
chosen
Indicates that one program builds upon, enhances, or broadens the scope of another program’s content, features, or capabilities.
-
D.
hasStrongProgramIn
Indicates that an institution or organization offers a particularly high-quality or well-regarded program in a specified field or area.
-
E.
implementedProgram
Indicates that an entity has created, developed, or put into operation a particular program or software system.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1304588190b59a18fb7b70a60f |
completed | March 22, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69c021d477008190946113f9859eeb90 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:51 p.m.