Triple
T21038472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kings Dominion |
E518254
|
entity |
| Predicate | hasRollerCoaster |
P23566
|
FINISHED |
| Object |
Grizzly
Grizzly is a classic wooden roller coaster at Kings Dominion known for its forested setting and intense, terrain-hugging layout.
|
E1463739
|
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: Grizzly | Statement: [Kings Dominion, hasRollerCoaster, Grizzly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grizzly Context triple: [Kings Dominion, hasRollerCoaster, Grizzly]
-
A.
Grizzly
Grizzly is a popular American moist snuff (smokeless tobacco) brand known for its strong flavor and wide variety of cuts and styles.
-
B.
Grizzly
Grizzly is the enthusiastic and outgoing brown bear who leads the trio of bear brothers in the animated series "We Bare Bears."
-
C.
Grizzly Bear
Grizzly Bear is an American indie rock band known for its intricate harmonies, experimental arrangements, and critically acclaimed albums such as "Veckatimest."
-
D.
Monte the Grizzly
Monte the Grizzly is the costumed grizzly bear mascot who represents the University of Montana at athletic events and school functions.
-
E.
Grizzly Giant
Grizzly Giant is one of the largest and oldest giant sequoia trees in Yosemite National Park, renowned for its massive trunk and iconic, sprawling branches.
- 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: Grizzly Triple: [Kings Dominion, hasRollerCoaster, Grizzly]
Generated description
Grizzly is a classic wooden roller coaster at Kings Dominion known for its forested setting and intense, terrain-hugging layout.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grizzly Target entity description: Grizzly is a classic wooden roller coaster at Kings Dominion known for its forested setting and intense, terrain-hugging layout.
-
A.
Grizzly
Grizzly is a popular American moist snuff (smokeless tobacco) brand known for its strong flavor and wide variety of cuts and styles.
-
B.
Grizzly
Grizzly is the enthusiastic and outgoing brown bear who leads the trio of bear brothers in the animated series "We Bare Bears."
-
C.
Grizzly Bear
Grizzly Bear is an American indie rock band known for its intricate harmonies, experimental arrangements, and critically acclaimed albums such as "Veckatimest."
-
D.
Monte the Grizzly
Monte the Grizzly is the costumed grizzly bear mascot who represents the University of Montana at athletic events and school functions.
-
E.
Grizzly Giant
Grizzly Giant is one of the largest and oldest giant sequoia trees in Yosemite National Park, renowned for its massive trunk and iconic, sprawling branches.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcee13b08190a8b3372f6759cd1b |
completed | April 21, 2026, 4:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09474f070c8190a3de6553623c4fdc |
completed | May 17, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_6a0948c7ba0c8190bee037a8112c33ea |
completed | May 17, 2026, 4:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a094968b54c8190bbaedc3d205f7f1e |
completed | May 17, 2026, 4:51 a.m. |
Created at: April 16, 2026, 2:12 p.m.