Triple
T4462220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Six Flags Great America |
E98281
|
entity |
| Predicate | hasRollerCoaster |
P23566
|
FINISHED |
| Object | Demon |
E355925
|
NE FINISHED |
How this triple was built (2 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: Demon | Statement: [Six Flags Great America, hasRollerCoaster, Demon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demon Context triple: [Six Flags Great America, hasRollerCoaster, Demon]
-
A.
Demon
chosen
Demon is a classic looping steel roller coaster at California’s Great America known for its inversions and themed tunnel elements.
-
B.
Fiend
Fiend is an American rapper and producer known for his work with No Limit Records in the late 1990s and collaborations with artists like Snoop Dogg.
-
C.
Demogorgon
Demogorgon is a terrifying predatory monster from the Upside Down in the TV series "Stranger Things," known for its humanoid body and flower-like, tooth-filled head.
-
D.
Die
Die is a historic commune in southeastern France known for its medieval architecture and as a center of the Clairette de Die sparkling wine region.
-
E.
Moloch
Moloch is an ancient Near Eastern deity often associated with child sacrifice and later demonized in Jewish, Christian, and modern cultural traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: March 12, 2026, 11:34 p.m.