Triple
T3941319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SeaWorld San Antonio |
E92038
|
entity |
| Predicate | hasRollerCoaster |
P23566
|
FINISHED |
| Object |
Texas Stingray
Texas Stingray is a wooden roller coaster at SeaWorld San Antonio known for its high speeds, airtime hills, and status as one of the tallest and fastest wooden coasters in Texas.
|
E401079
|
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: Texas Stingray | Statement: [SeaWorld San Antonio, hasRollerCoaster, Texas Stingray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Texas Stingray Context triple: [SeaWorld San Antonio, hasRollerCoaster, Texas Stingray]
-
A.
Rattlers
Rattlers is the nickname for the athletic teams representing Florida A&M University.
-
B.
Rays
Rays is the shortened nickname for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
-
C.
Seawolves
The Seawolves are the intercollegiate athletic teams representing the University of Alaska Anchorage in NCAA sports.
-
D.
Tampa Tarpons
The Tampa Tarpons are a Minor League Baseball team and Single-A affiliate of the New York Yankees based in Tampa, Florida.
-
E.
Dolphins F.C.
Dolphins F.C. was a Nigerian professional football club that competed in the country’s top leagues and later became part of Rivers United F.C. through a merger.
- 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: Texas Stingray Triple: [SeaWorld San Antonio, hasRollerCoaster, Texas Stingray]
Generated description
Texas Stingray is a wooden roller coaster at SeaWorld San Antonio known for its high speeds, airtime hills, and status as one of the tallest and fastest wooden coasters in Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Texas Stingray Target entity description: Texas Stingray is a wooden roller coaster at SeaWorld San Antonio known for its high speeds, airtime hills, and status as one of the tallest and fastest wooden coasters in Texas.
-
A.
Rattlers
Rattlers is the nickname for the athletic teams representing Florida A&M University.
-
B.
Rays
Rays is the shortened nickname for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
-
C.
Seawolves
The Seawolves are the intercollegiate athletic teams representing the University of Alaska Anchorage in NCAA sports.
-
D.
Tampa Tarpons
The Tampa Tarpons are a Minor League Baseball team and Single-A affiliate of the New York Yankees based in Tampa, Florida.
-
E.
Dolphins F.C.
Dolphins F.C. was a Nigerian professional football club that competed in the country’s top leagues and later became part of Rivers United F.C. through a merger.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfdffc48190a93ecb6115b2db33 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533912bf881909e5e5e9e4245edbf |
completed | March 14, 2026, 10:08 a.m. |
| NEDg | Description generation | batch_69b534343a4081909495add7f524cbd2 |
completed | March 14, 2026, 10:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b534931f188190a9428f1b81e524a4 |
completed | March 14, 2026, 10:12 a.m. |
Created at: March 9, 2026, 3:24 p.m.