Triple
T4462209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Flags Great America |
E98281
|
entity |
| Predicate | hasArea |
P175
|
FINISHED |
| Object |
Camp Cartoon
Camp Cartoon is a family-friendly, cartoon-themed area within the Six Flags Great America amusement park featuring kid-oriented rides and attractions.
|
E443179
|
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: Camp Cartoon | Statement: [Six Flags Great America, hasArea, Camp Cartoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camp Cartoon Context triple: [Six Flags Great America, hasArea, Camp Cartoon]
-
A.
Camp Snoopy
Camp Snoopy is a Peanuts-themed children’s area and family section within the Michigan’s Adventure amusement park.
-
B.
Camp
Camp is the debut studio album by American rapper and actor Childish Gambino, blending introspective lyrics with experimental hip hop production.
-
C.
Camp
Camp is a surname most notably associated with Garrett Camp, the Canadian entrepreneur and co-founder of Uber and StumbleUpon.
-
D.
Cartoon City
Cartoon City is a themed zone within the Happy Valley Shenzhen amusement park featuring cartoon-inspired attractions and family-friendly entertainment.
-
E.
Fort Fun
Fort Fun is a playful nickname for Fort Collins, Colorado, highlighting the city’s lively, recreation-focused atmosphere.
- 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: Camp Cartoon Triple: [Six Flags Great America, hasArea, Camp Cartoon]
Generated description
Camp Cartoon is a family-friendly, cartoon-themed area within the Six Flags Great America amusement park featuring kid-oriented rides and attractions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camp Cartoon Target entity description: Camp Cartoon is a family-friendly, cartoon-themed area within the Six Flags Great America amusement park featuring kid-oriented rides and attractions.
-
A.
Camp Snoopy
Camp Snoopy is a Peanuts-themed children’s area and family section within the Michigan’s Adventure amusement park.
-
B.
Camp
Camp is the debut studio album by American rapper and actor Childish Gambino, blending introspective lyrics with experimental hip hop production.
-
C.
Camp
Camp is a surname most notably associated with Garrett Camp, the Canadian entrepreneur and co-founder of Uber and StumbleUpon.
-
D.
Cartoon City
Cartoon City is a themed zone within the Happy Valley Shenzhen amusement park featuring cartoon-inspired attractions and family-friendly entertainment.
-
E.
Fort Fun
Fort Fun is a playful nickname for Fort Collins, Colorado, highlighting the city’s lively, recreation-focused atmosphere.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567716a4819092a5bc9732e74592 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6284b90708190b557b66bd7533f4e |
completed | March 15, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69b629532cac8190b959adc0ef13305a |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62d9c287c8190a305f9d21517f913 |
completed | March 15, 2026, 3:55 a.m. |
Created at: March 12, 2026, 11:34 p.m.