Triple
T1446487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freedom of Access to Clinic Entrances Act |
E31188
|
entity |
| Predicate | doesNotProhibit |
P4300
|
FINISHED |
| Object | peaceful picketing |
—
|
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: peaceful picketing | Statement: [Freedom of Access to Clinic Entrances Act, doesNotProhibit, peaceful picketing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotProhibit Context triple: [Freedom of Access to Clinic Entrances Act, doesNotProhibit, peaceful picketing]
-
A.
doesNotAllow
Indicates that one entity prevents, forbids, or does not permit another entity from performing a specific action or being in a certain state.
-
B.
doesNotProtect
Indicates that an entity fails to provide protection or safeguarding to another entity or object.
-
C.
doesNot
chosen
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
D.
doesNotAbolish
Indicates that one entity, action, or law does not eliminate, revoke, or put an end to another.
-
E.
doesNotIssue
Indicates that one entity refrains from or fails to produce, grant, or distribute something (such as a document, order, or resource) to 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c558e0e081909802753872374d7b |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.