Triple
T20163822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busch Gardens Williamsburg |
E491778
|
entity |
| Predicate | hasRollerCoaster |
P23566
|
FINISHED |
| Object | Alpengeist |
—
|
NE NERFINISHED |
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: Alpengeist | Statement: [Busch Gardens Williamsburg, hasRollerCoaster, Alpengeist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alpengeist Context triple: [Busch Gardens Williamsburg, hasRollerCoaster, Alpengeist]
-
A.
Alpengeist
chosen
Alpengeist is a high-speed, inverted steel roller coaster at Busch Gardens Williamsburg themed around a runaway ski lift in the Alps.
-
B.
Schaufling
Schaufling is a small municipality in the Bavarian district of Regen in southeastern Germany, known for its rural setting in the Bavarian Forest region.
-
C.
Waldgeist
Waldgeist is a top-class French Thoroughbred racehorse best known for winning the 2019 Prix de l'Arc de Triomphe.
-
D.
Hornschuch
Hornschuch is a German surname most notably associated with Karl Georg Hornschuch, a 19th-century botanist and bryologist.
-
E.
Snowmane
Snowmane is the noble warhorse of King Théoden of Rohan in J.R.R. Tolkien’s The Lord of the Rings, famed for bearing him in the Battle of the Pelennor Fields.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66841b7d88190af3606f762d87b24 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.