Triple
T5853137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beech Bend Park |
E130084
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Zero G
Zero G is a roller coaster attraction located at Beech Bend Park in Kentucky.
|
E550202
|
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: Zero G | Statement: [Beech Bend Park, hasAttraction, Zero G]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zero G Context triple: [Beech Bend Park, hasAttraction, Zero G]
-
A.
Zero K
Zero K is a 2016 novel by Don DeLillo that explores themes of mortality, technology, and cryonics through a meditative, dystopian narrative.
-
B.
Le Shuttle
Le Shuttle is a vehicle-carrying rail service that transports cars, trucks, and passengers through the Channel Tunnel between the United Kingdom and France.
-
C.
G-Force
G-Force is a 2009 live-action/CGI family action-comedy film about a team of highly trained secret agent guinea pigs, produced by Jerry Bruckheimer.
-
D.
Mission: SPACE
Mission: SPACE is a spaceflight-simulation attraction at EPCOT that immerses guests in a realistic, high-intensity mission to Mars experience.
-
E.
Escape from Planet Earth
Escape from Planet Earth is a 2013 animated science-fiction comedy film that follows alien brothers on a rescue mission to Earth after one is lured into a trap.
- 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: Zero G Triple: [Beech Bend Park, hasAttraction, Zero G]
Generated description
Zero G is a roller coaster attraction located at Beech Bend Park in Kentucky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zero G Target entity description: Zero G is a roller coaster attraction located at Beech Bend Park in Kentucky.
-
A.
Zero K
Zero K is a 2016 novel by Don DeLillo that explores themes of mortality, technology, and cryonics through a meditative, dystopian narrative.
-
B.
Le Shuttle
Le Shuttle is a vehicle-carrying rail service that transports cars, trucks, and passengers through the Channel Tunnel between the United Kingdom and France.
-
C.
G-Force
G-Force is a 2009 live-action/CGI family action-comedy film about a team of highly trained secret agent guinea pigs, produced by Jerry Bruckheimer.
-
D.
Mission: SPACE
Mission: SPACE is a spaceflight-simulation attraction at EPCOT that immerses guests in a realistic, high-intensity mission to Mars experience.
-
E.
Escape from Planet Earth
Escape from Planet Earth is a 2013 animated science-fiction comedy film that follows alien brothers on a rescue mission to Earth after one is lured into a trap.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035529cf88190acc547ae839950e7 |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1b8f8508190942ce1725884d254 |
completed | March 23, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69c0a30d66088190b6e37a95527b273d |
completed | March 23, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a364931c81908d595d74cb4f9a7b |
completed | March 23, 2026, 2:20 a.m. |
Created at: March 22, 2026, 3:55 p.m.