Triple
T38132854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Congo River Rapids |
E952268
|
entity |
| Predicate | waterRideCategory |
P197154
|
FINISHED |
| Object | wet ride |
—
|
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: wet ride | Statement: [Congo River Rapids, waterRideCategory, wet ride]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterRideCategory Context triple: [Congo River Rapids, waterRideCategory, wet ride]
-
A.
waterParkType
Indicates the specific type or category of a water park associated with an entity.
-
B.
hasWaterRide
Indicates that an entity features or includes at least one water-based ride or attraction.
-
C.
numberOfWaterRides
Indicates the quantity of water-based rides associated with a given entity.
-
D.
hasWaterCoaster
Indicates that an entity features or includes a water-based roller coaster attraction.
-
E.
waterParkSectionType
Indicates the specific type or category of a section within a water park (e.g., ride area, kids zone, relaxation area).
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
| PDg | Predicate description generation | batch_69fe78e35e6c8190b8b440777912f64e |
completed | May 8, 2026, 11:59 p.m. |
Created at: May 3, 2026, 4:21 p.m.