Triple
T3941320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SeaWorld San Antonio |
E92038
|
entity |
| Predicate | hasWaterRide |
P35621
|
FINISHED |
| Object |
Rio Loco
Rio Loco is a whitewater river rapids ride at SeaWorld San Antonio known for its turbulent currents, splashing waves, and family-friendly thrills.
|
E401080
|
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: Rio Loco | Statement: [SeaWorld San Antonio, hasWaterRide, Rio Loco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rio Loco Context triple: [SeaWorld San Antonio, hasWaterRide, Rio Loco]
-
A.
Loco
Loco is one of the three glamorous, husband-seeking female characters in the romantic comedy "How to Marry a Millionaire," known for her comedic charm and gold-digging aspirations.
-
B.
El Loco
El Loco is the famous nickname of Argentine football manager Marcelo Bielsa, known for his intense, unorthodox tactics and obsessive attention to detail.
-
C.
Mogotón
Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
-
D.
Cominotto
Cominotto is a small uninhabited islet in the Maltese archipelago, located just off the larger island of Comino.
-
E.
Tren Urbano
Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
- 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: Rio Loco Triple: [SeaWorld San Antonio, hasWaterRide, Rio Loco]
Generated description
Rio Loco is a whitewater river rapids ride at SeaWorld San Antonio known for its turbulent currents, splashing waves, and family-friendly thrills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rio Loco Target entity description: Rio Loco is a whitewater river rapids ride at SeaWorld San Antonio known for its turbulent currents, splashing waves, and family-friendly thrills.
-
A.
Loco
Loco is one of the three glamorous, husband-seeking female characters in the romantic comedy "How to Marry a Millionaire," known for her comedic charm and gold-digging aspirations.
-
B.
El Loco
El Loco is the famous nickname of Argentine football manager Marcelo Bielsa, known for his intense, unorthodox tactics and obsessive attention to detail.
-
C.
Mogotón
Mogotón is a mountain on the border between Nicaragua and Honduras that forms the highest peak in Nicaragua.
-
D.
Cominotto
Cominotto is a small uninhabited islet in the Maltese archipelago, located just off the larger island of Comino.
-
E.
Tren Urbano
Tren Urbano is a rapid transit rail system serving the San Juan metropolitan area in Puerto Rico, providing urban mass transportation across key municipalities.
- 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.