Triple
T7483870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomorrowland |
E176829
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object |
Autopia
Autopia is a long-running Disneyland attraction where guests drive small gas-powered cars along a guided roadway, evoking a futuristic vision of freeway travel.
|
E667044
|
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: Autopia | Statement: [Tomorrowland, hasAttraction, Autopia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autopia Context triple: [Tomorrowland, hasAttraction, Autopia]
-
A.
Kid Auto Races at Venice
Kid Auto Races at Venice is a 1914 silent comedy short film notable for introducing Charlie Chaplin’s iconic Tramp character to audiences.
-
B.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
C.
Road 4
Road 4 is a major north–south highway in Israel that runs along the country’s coastal plain and connects numerous key cities and junctions.
-
D.
Make Way
Make Way is a 1961 folk music album by The Kingston Trio that showcases the group’s signature harmonies and helped solidify their popularity during the American folk revival.
-
E.
Electrodrome
Electrodrome is a neon-lit, music-themed race track in Mario Kart 8 featuring pulsating lights, synchronized beats, and twisting anti-gravity sections.
- 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: Autopia Triple: [Tomorrowland, hasAttraction, Autopia]
Generated description
Autopia is a long-running Disneyland attraction where guests drive small gas-powered cars along a guided roadway, evoking a futuristic vision of freeway travel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Autopia Target entity description: Autopia is a long-running Disneyland attraction where guests drive small gas-powered cars along a guided roadway, evoking a futuristic vision of freeway travel.
-
A.
Kid Auto Races at Venice
Kid Auto Races at Venice is a 1914 silent comedy short film notable for introducing Charlie Chaplin’s iconic Tramp character to audiences.
-
B.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
C.
Road 4
Road 4 is a major north–south highway in Israel that runs along the country’s coastal plain and connects numerous key cities and junctions.
-
D.
Make Way
Make Way is a 1961 folk music album by The Kingston Trio that showcases the group’s signature harmonies and helped solidify their popularity during the American folk revival.
-
E.
Electrodrome
Electrodrome is a neon-lit, music-themed race track in Mario Kart 8 featuring pulsating lights, synchronized beats, and twisting anti-gravity sections.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f53923e4819081bf79ed962a971c |
completed | March 27, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8349d83cc8190af98c3212e28e913 |
completed | March 28, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69c835916e948190ad5789e4611f8842 |
completed | March 28, 2026, 8:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83635c7888190834f02e7ea0f1ab5 |
completed | March 28, 2026, 8:12 p.m. |
Created at: March 27, 2026, 3:42 p.m.