Triple
T2883180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bondi Beach |
E59442
|
entity |
| Predicate | hasLifesavingService |
P12976
|
FINISHED |
| Object | professional lifeguards |
—
|
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: professional lifeguards | Statement: [Bondi Beach, hasLifesavingService, professional lifeguards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLifesavingService Context triple: [Bondi Beach, hasLifesavingService, professional lifeguards]
-
A.
hasLifeguardService
chosen
Indicates that a location or facility provides lifeguard supervision or rescue services.
-
B.
hasLifeboatStation
Indicates that a place or facility is equipped with a lifeboat station for maritime rescue or emergency response.
-
C.
hasEmergencyServices
Indicates that the subject provides or is equipped with emergency response services (such as police, fire, or medical assistance).
-
D.
hasSupportService
Indicates that one entity provides or is associated with a support-related service for another entity.
-
E.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02c238881908f7a349563c388bf |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.