Triple
T11212471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adventure Island |
E265341
|
entity |
| Predicate | hasRide |
P30385
|
FINISHED |
| Object |
Skydrop
Skydrop is a high-thrill drop tower attraction that rapidly lifts riders skyward before plunging them back down in a free-fall experience.
|
E912053
|
NE FINISHED |
How this triple was built (4 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: Skydrop | Statement: [Adventure Island, hasRide, Skydrop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skydrop Context triple: [Adventure Island, hasRide, Skydrop]
-
A.
SkyPod
SkyPod is the highest observation deck of Toronto’s CN Tower, offering panoramic views from near the top of the landmark skyscraper.
-
B.
Cloud 9
Cloud 9 is a world-famous surf break on Siargao Island in the Philippines, renowned for its powerful barreling waves and annual international surfing competitions.
-
C.
Sky 360
Sky 360 is a revolving restaurant located atop the Calgary Tower, offering panoramic views of Calgary and its surroundings.
-
D.
Skylink
Skylink is an automated people mover system that transports passengers between terminals at Dallas/Fort Worth International Airport.
-
E.
Cloud Nine
Cloud Nine is a modern music and event hall located within the TivoliVredenburg cultural complex in Utrecht, Netherlands.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Skydrop Triple: [Adventure Island, hasRide, Skydrop]
Generated description
Skydrop is a high-thrill drop tower attraction that rapidly lifts riders skyward before plunging them back down in a free-fall experience.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skydrop Target entity description: Skydrop is a high-thrill drop tower attraction that rapidly lifts riders skyward before plunging them back down in a free-fall experience.
-
A.
SkyPod
SkyPod is the highest observation deck of Toronto’s CN Tower, offering panoramic views from near the top of the landmark skyscraper.
-
B.
Cloud 9
Cloud 9 is a world-famous surf break on Siargao Island in the Philippines, renowned for its powerful barreling waves and annual international surfing competitions.
-
C.
Sky 360
Sky 360 is a revolving restaurant located atop the Calgary Tower, offering panoramic views of Calgary and its surroundings.
-
D.
Skylink
Skylink is an automated people mover system that transports passengers between terminals at Dallas/Fort Worth International Airport.
-
E.
Cloud Nine
Cloud Nine is a modern music and event hall located within the TivoliVredenburg cultural complex in Utrecht, Netherlands.
- F. None of above. chosen
Provenance (5 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d7f47c8190b78c640ff1a01943 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e497569efc8190b8e9cb6b1db3f94d |
completed | April 19, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e49c0a92b08190ac5debb7d67ca776 |
completed | April 19, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49e8dc4ec81908d0defe77827d197 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 8, 2026, 9:30 p.m.