Triple
T5209965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney’s Typhoon Lagoon |
E117606
|
entity |
| Predicate | wavePoolWaveHeight |
P41302
|
FINISHED |
| Object | up to approximately 6 feet |
—
|
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: up to approximately 6 feet | Statement: [Disney’s Typhoon Lagoon, wavePoolWaveHeight, up to approximately 6 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wavePoolWaveHeight Context triple: [Disney’s Typhoon Lagoon, wavePoolWaveHeight, up to approximately 6 feet]
-
A.
waveHeightsCanReach
chosen
Indicates that the heights of waves are capable of attaining or reaching a specified magnitude or level.
-
B.
waveDirection
Indicates the direction in which a wave is propagating or traveling relative to a reference frame.
-
C.
waveType
Indicates the specific kind or category of wave associated with an entity or interaction (e.g., type of signal, motion, or oscillation).
-
D.
waveColor
Indicates the color associated with a particular wave (e.g., light or electromagnetic wave) in the described context.
-
E.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a703e388190845dedd17252ddde |
completed | March 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69bd77bb4e8c819094b5ac7cf61512f9 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:47 p.m.