Triple
T25361961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankston |
E635991
|
entity |
| Predicate | hasAquaticCentre |
P158234
|
FINISHED |
| Object | Peninsula Aquatic Recreation Centre |
—
|
NE NERFINISHED |
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: Peninsula Aquatic Recreation Centre | Statement: [Frankston, hasAquaticCentre, Peninsula Aquatic Recreation Centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAquaticCentre Context triple: [Frankston, hasAquaticCentre, Peninsula Aquatic Recreation Centre]
-
A.
homeAquaticsVenue
Indicates that a venue serves as the primary location where an entity regularly conducts its aquatic-related activities or events.
-
B.
hasBoatFacility
Indicates that an entity provides or is equipped with facilities or services specifically for boats.
-
C.
hasDiveCenter
Indicates that an entity operates, hosts, or is associated with a dive center.
-
D.
hasWaterPark
Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
-
E.
hasSwimmingPool
Indicates that the subject possesses or includes a swimming pool as one of its features.
- 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_69e75a9b7cf481909f2dcdfb37d95ca7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4a10b20608190837fc5471f7ed504 |
completed | May 1, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 21, 2026, 1:36 p.m.