Triple
T2615711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leadbetter Beach |
E58882
|
entity |
| Predicate | hasLifeguards |
P12976
|
FINISHED |
| Object | seasonal lifeguard service |
—
|
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: seasonal lifeguard service | Statement: [Leadbetter Beach, hasLifeguards, seasonal lifeguard service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLifeguards Context triple: [Leadbetter Beach, hasLifeguards, seasonal lifeguard service]
-
A.
hasLifeguardService
chosen
Indicates that a location or facility provides lifeguard supervision or rescue services.
-
B.
swimmingAllowed
Indicates that swimming is permitted at a particular place, time, or under specified conditions.
-
C.
hasWaterActivity
Indicates that one entity possesses, exhibits, or is characterized by a particular level or type of water-related activity (such as moisture content, water availability, or water-based processes).
-
D.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
-
E.
hasWaterPark
Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
- 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd89325308190985598373eb0d296 |
completed | March 7, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69abd80cd7fc81909e9696db2919129f |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.