Triple
T21032430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kings Island |
E518095
|
entity |
| Predicate | hasRollerCoaster |
P23566
|
FINISHED |
| Object |
Orion
Orion is a giga coaster at Kings Island known for its towering height, high speeds, and status as one of the park’s most prominent thrill rides.
|
E1464055
|
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: Orion | Statement: [Kings Island, hasRollerCoaster, Orion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orion Context triple: [Kings Island, hasRollerCoaster, Orion]
-
A.
Orion
Orion is a prominent constellation in the night sky, easily recognized by its three-star belt and associated in many cultures with the figure of a hunter.
-
B.
Orion
Orion is an American film production and distribution company known for releasing acclaimed movies such as "The Silence of the Lambs," "Amadeus," and "Dances with Wolves."
-
C.
Orion
Orion is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance and proximity to Manila Bay.
-
D.
Orion
Orion is a major UK-based publishing imprint known for its wide range of commercial and literary fiction and non-fiction titles.
-
E.
Orion
Orion was the Apollo 16 Lunar Module that carried astronauts John Young and Charles Duke to the Moon’s surface in April 1972.
- 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: Orion Triple: [Kings Island, hasRollerCoaster, Orion]
Generated description
Orion is a giga coaster at Kings Island known for its towering height, high speeds, and status as one of the park’s most prominent thrill rides.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orion Target entity description: Orion is a giga coaster at Kings Island known for its towering height, high speeds, and status as one of the park’s most prominent thrill rides.
-
A.
Orion
Orion is a prominent constellation in the night sky, easily recognized by its three-star belt and associated in many cultures with the figure of a hunter.
-
B.
Orion
Orion is a powerful cosmic warrior and one of the central New Gods in DC Comics, known as the hot-headed son of Darkseid who struggles against his brutal heritage.
-
C.
Orion
Orion is a coastal municipality in the province of Bataan in the Philippines, known for its historical significance and proximity to Manila Bay.
-
D.
Orion
Orion is a major UK-based publishing imprint known for its wide range of commercial and literary fiction and non-fiction titles.
-
E.
Orion
Orion was the Apollo 16 Lunar Module that carried astronauts John Young and Charles Duke to the Moon’s surface in April 1972.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc83828c81909c1ec745c0313c9f |
completed | April 21, 2026, 4:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a094747bcec8190beadedbe6dde96d0 |
completed | May 17, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_6a094a3eaef881908083e8f7e03f4f07 |
completed | May 17, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a094aa6baf8819088ccc84f41640bf6 |
completed | May 17, 2026, 4:57 a.m. |
Created at: April 16, 2026, 1:56 p.m.