Triple
T3715666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SeaWorld Orlando |
E81523
|
entity |
| Predicate | hasWaterRide |
P35621
|
FINISHED |
| Object | Infinity Falls |
E382700
|
NE 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: Infinity Falls | Statement: [SeaWorld Orlando, hasWaterRide, Infinity Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Infinity Falls Context triple: [SeaWorld Orlando, hasWaterRide, Infinity Falls]
-
A.
Infinity Falls
chosen
Infinity Falls is a river rapids ride at SeaWorld Orlando known for its record-breaking drop and immersive rainforest theming.
-
B.
Cliffhanger
Cliffhanger is a 1993 action thriller film starring Sylvester Stallone as a mountain climber caught in a high-altitude heist gone wrong.
-
C.
The Meg
The Meg is a 2018 science fiction action film about a massive prehistoric shark terrorizing a deep-sea research facility.
-
D.
Skyscraper
"Skyscraper" is a power ballad best known as a hit single by Demi Lovato, co-written and produced by songwriter Toby Gad.
-
E.
Ice Land
Ice Land is a frigid, snow- and ice-themed world in Super Mario Bros. 3 known for its slippery terrain and cold-weather enemies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9cf77dc819098979094172d82d1 |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db0ba70481908dfd11ee5c89faff |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:33 p.m.