Triple
T1010403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busch Gardens Tampa Bay |
E21808
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Pantopia
Pantopia is a themed area within Busch Gardens Tampa Bay featuring colorful architecture, rides, shops, and entertainment.
|
E120753
|
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: Pantopia | Statement: [Busch Gardens Tampa Bay, hasAttraction, Pantopia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pantopia Context triple: [Busch Gardens Tampa Bay, hasAttraction, Pantopia]
-
A.
The Pit
The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
-
B.
Kalorama
Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
-
C.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
D.
Viper Island
Viper Island is a small historic island in the Andaman archipelago, known for its former British-era prison ruins and proximity to Port Blair.
-
E.
The Pantiles
The Pantiles is a historic colonnaded promenade and shopping area in Royal Tunbridge Wells, famed for its Georgian architecture, boutiques, and cafés.
- 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: Pantopia Triple: [Busch Gardens Tampa Bay, hasAttraction, Pantopia]
Generated description
Pantopia is a themed area within Busch Gardens Tampa Bay featuring colorful architecture, rides, shops, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pantopia Target entity description: Pantopia is a themed area within Busch Gardens Tampa Bay featuring colorful architecture, rides, shops, and entertainment.
-
A.
The Pit
The Pit is a famed college basketball arena in Albuquerque, New Mexico, renowned for its intense atmosphere and distinctive sunken design.
-
B.
Kalorama
Kalorama is an affluent, historic residential neighborhood in Northwest Washington, D.C., known for its embassies, stately mansions, and prominent political residents.
-
C.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
D.
Viper Island
Viper Island is a small historic island in the Andaman archipelago, known for its former British-era prison ruins and proximity to Port Blair.
-
E.
The Pantiles
The Pantiles is a historic colonnaded promenade and shopping area in Royal Tunbridge Wells, famed for its Georgian architecture, boutiques, and cafés.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7a5651081909f16a5fadd3992a4 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bab71388190ba8bbfd79a5e0f92 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3c30311081909e817de7cf9c2d9b |
completed | March 7, 2026, 2:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3c9cc1ec819087df1f4c4efc5646 |
completed | March 7, 2026, 2:56 p.m. |
Created at: March 1, 2026, 7:41 p.m.