Triple
T37841974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gas Chambers surf break |
E943502
|
entity |
| Predicate | localRegulation |
P163903
|
FINISHED |
| Object | no lifeguard on duty at all times |
—
|
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: no lifeguard on duty at all times | Statement: [Gas Chambers surf break, localRegulation, no lifeguard on duty at all times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localRegulation Context triple: [Gas Chambers surf break, localRegulation, no lifeguard on duty at all times]
-
A.
hasLocalOrdinances
Indicates that a governing body or jurisdiction has established and enacted specific local ordinances or regulations.
-
B.
appliesLocalLaw
Indicates that a legal rule, decision, or authority is governed by and enforced under the laws of a specific local jurisdiction.
-
C.
displayRegulation
Indicates that an entity presents or shows a regulation or set of rules, making it visible or accessible to others.
-
D.
cityRegulationImpact
Indicates how a specific city regulation affects or influences certain activities, entities, or conditions.
-
E.
localPolicy
chosen
Indicates that a policy or rule is specific to, and applicable within, a particular local jurisdiction, organization, or context rather than being broadly or universally enforced.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 3, 2026, 4:19 p.m.