Triple
T5209955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney’s Typhoon Lagoon |
E117606
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Keelhaul Falls |
E506986
|
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: Keelhaul Falls | Statement: [Disney’s Typhoon Lagoon, hasAttraction, Keelhaul Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keelhaul Falls Context triple: [Disney’s Typhoon Lagoon, hasAttraction, Keelhaul Falls]
-
A.
Gang Plank Falls
chosen
Gang Plank Falls is a family-friendly whitewater rafting slide attraction at Disney’s Typhoon Lagoon water park.
-
B.
Kempty Falls
Kempty Falls is a popular cascading waterfall and picnic spot near Mussoorie in the Indian state of Uttarakhand, known for its scenic beauty and cool mountain surroundings.
-
C.
Assop Falls
Assop Falls is a scenic waterfall and popular natural tourist attraction located near Jos in Plateau State, Nigeria.
-
D.
Basaseachic Falls
Basaseachic Falls is a major waterfall in Mexico’s Copper Canyon region, renowned as one of the country’s tallest and most scenic natural attractions.
-
E.
Nachi Falls
Nachi Falls is one of Japan’s tallest and most famous waterfalls, revered as a sacred site and scenic highlight near the Kumano Nachi Taisha shrine in Wakayama Prefecture.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a703e388190845dedd17252ddde |
completed | March 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06b04cd881909e31b4e533dc4ae8 |
completed | March 21, 2026, 8:59 p.m. |
Created at: March 20, 2026, 1:47 p.m.