Triple
T9135511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedar Point |
E219191
|
entity |
| Predicate | hasRollerCoaster |
P23566
|
FINISHED |
| Object |
Raptor
Raptor is a steel inverted roller coaster at Cedar Point known for its intense inversions and high-speed, suspended-track design.
|
E780600
|
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: Raptor | Statement: [Cedar Point, hasRollerCoaster, Raptor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raptor Context triple: [Cedar Point, hasRollerCoaster, Raptor]
-
A.
Raptor
Raptor is SpaceX’s next-generation methane-fueled rocket engine designed to power the company’s Starship launch system with high efficiency and reusability.
-
B.
Raptor
Raptor is the NATO reporting name for the F-22, a fifth-generation American stealth air superiority fighter aircraft.
-
C.
Hawk
The Hawk is a bird of prey commonly symbolizing keen vision, strength, and agility, and serves as the mascot for various schools and sports teams.
-
D.
The Raptor
The Raptor is the high-energy, dinosaur-themed official mascot of the NBA’s Toronto Raptors, known for acrobatic antics and entertaining fans during games.
-
E.
Taita falcon
The Taita falcon is a small, rare African bird of prey known for its fast, agile flight and preference for nesting on cliffs in rugged, remote landscapes.
- 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: Raptor Triple: [Cedar Point, hasRollerCoaster, Raptor]
Generated description
Raptor is a steel inverted roller coaster at Cedar Point known for its intense inversions and high-speed, suspended-track design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Raptor Target entity description: Raptor is a steel inverted roller coaster at Cedar Point known for its intense inversions and high-speed, suspended-track design.
-
A.
Raptor
Raptor is SpaceX’s next-generation methane-fueled rocket engine designed to power the company’s Starship launch system with high efficiency and reusability.
-
B.
Raptor
Raptor is the NATO reporting name for the F-22, a fifth-generation American stealth air superiority fighter aircraft.
-
C.
Hawk
The Hawk is a bird of prey commonly symbolizing keen vision, strength, and agility, and serves as the mascot for various schools and sports teams.
-
D.
The Raptor
The Raptor is the high-energy, dinosaur-themed official mascot of the NBA’s Toronto Raptors, known for acrobatic antics and entertaining fans during games.
-
E.
Taita falcon
The Taita falcon is a small, rare African bird of prey known for its fast, agile flight and preference for nesting on cliffs in rugged, remote landscapes.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8df68108190bb2df0583c5ad481 |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047efc5e48190bc8c4a7e865faef9 |
completed | April 3, 2026, 11:06 p.m. |
| NEDg | Description generation | batch_69d04935d4e88190acb4d65a2dc2bc8a |
completed | April 3, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d049e6c4cc81909e08b5aaed9a88dc |
completed | April 3, 2026, 11:14 p.m. |
Created at: March 30, 2026, 7:18 p.m.