Triple
T13097600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Bondi Surf Life Saving Club |
E310631
|
entity |
| Predicate | locatedAtEndOfBeach |
P108029
|
FINISHED |
| Object | northern end of Bondi Beach |
—
|
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: northern end of Bondi Beach | Statement: [North Bondi Surf Life Saving Club, locatedAtEndOfBeach, northern end of Bondi Beach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedAtEndOfBeach Context triple: [North Bondi Surf Life Saving Club, locatedAtEndOfBeach, northern end of Bondi Beach]
-
A.
hasBeachNearby
Indicates that one location is situated close enough to another location to have convenient access to a beach.
-
B.
involvedLandingBeach
Indicates that an entity (such as a military unit, vessel, or operation) participated in or was associated with activities at a specific landing beach.
-
C.
beachedAt
Indicates that something has come ashore and is stranded or resting on a beach at a particular location or time.
-
D.
beachSubdivisionOf
Indicates that a beach is a component or sub-area of a larger geographic or administrative region.
-
E.
hasBeach
Indicates that one entity possesses, includes, or is characterized by a beach as part of its features or environment.
- F. None of above. chosen
Provenance (4 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9814e88a0819088418c792ce7aa57 |
completed | April 10, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69d98114a6508190b1e8e018bb5a068c |
completed | April 10, 2026, 11 p.m. |
Created at: April 9, 2026, 9:04 p.m.