Triple
T27292006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulau Sui Mandi |
E688652
|
entity |
| Predicate | marineParkType |
P26496
|
FINISHED |
| Object | national marine park component |
—
|
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: national marine park component | Statement: [Pulau Sui Mandi, marineParkType, national marine park component]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marineParkType Context triple: [Pulau Sui Mandi, marineParkType, national marine park component]
-
A.
marineAttraction
Indicates a relationship where one entity serves as a point of interest or entertainment specifically related to marine life or the marine environment for another entity.
-
B.
marineProtectedAreaOf
chosen
Indicates that one entity is designated as a marine protected area that encompasses, is associated with, or provides protection for the other entity.
-
C.
waterParkType
Indicates the specific type or category of a water park associated with an entity.
-
D.
marineReserveName
Indicates the designated name assigned to a marine reserve in which an entity is located or with which it is associated.
-
E.
hasMarinePark
Indicates that an entity possesses, contains, or is associated with a designated marine park area.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 11:16 a.m.