Triple
T7018867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Preserve (New York) |
E162765
|
entity |
| Predicate | legalChangeRequirement |
P30689
|
FINISHED |
| Object | statewide constitutional amendment |
—
|
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: statewide constitutional amendment | Statement: [Forest Preserve (New York), legalChangeRequirement, statewide constitutional amendment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalChangeRequirement Context triple: [Forest Preserve (New York), legalChangeRequirement, statewide constitutional amendment]
-
A.
hasLegalChange
Indicates that an entity has undergone or is associated with a modification in its legal status, rights, obligations, or regulatory conditions.
-
B.
legalRequirement
Indicates that one entity is obligated by law to perform, provide, or comply with something in relation to another entity or situation.
-
C.
legalReformer
Indicates that an entity works to change, improve, or modernize laws or legal systems.
-
D.
changesRequirement
Indicates that one entity modifies, updates, or alters the requirements associated with another entity.
-
E.
legalAmendment
chosen
Indicates a formal change or modification made to an existing law, regulation, or legal document.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e5ecd4488190bf19e42de55da98b |
completed | March 27, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b8118481909d76eb6616160e80 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:34 p.m.