Triple
T33174034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramus, New Jersey |
E849114
|
entity |
| Predicate | retailBlueLaws |
P142376
|
FINISHED |
| Object | most retail stores closed on Sundays |
—
|
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: most retail stores closed on Sundays | Statement: [Paramus, New Jersey, retailBlueLaws, most retail stores closed on Sundays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retailBlueLaws Context triple: [Paramus, New Jersey, retailBlueLaws, most retail stores closed on Sundays]
-
A.
stateLawOf
chosen
Indicates that one entity is a law or legal provision that is in force within, or specifically governs, a particular state or subnational jurisdiction.
-
B.
linearLawAppliesTo
Indicates that a specific linear law or linear relationship is applicable to, or governs, the referenced entity or situation.
-
C.
legalIn
Indicates that an action, status, or entity is permitted or valid under the laws or regulations of a specified jurisdiction.
-
D.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
-
E.
legalExceptionUnitedStates
Indicates that the usual legal rule or requirement does not apply in the United States due to a specific statutory, regulatory, or judicially recognized exception.
- 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.