Triple
T13800176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mechanica |
E331617
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Zamperla |
E519031
|
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: Zamperla | Statement: [Mechanica, manufacturer, Zamperla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zamperla Context triple: [Mechanica, manufacturer, Zamperla]
-
A.
Zamperla
chosen
Zamperla is an Italian amusement ride manufacturer known worldwide for producing family-friendly attractions and roller coasters for theme parks.
-
B.
Bolliger & Mabillard
Bolliger & Mabillard is a Swiss roller coaster design and manufacturing company renowned for creating some of the world's most innovative and high-profile steel coasters.
-
C.
Gerstlauer
Gerstlauer is a German amusement ride and roller coaster manufacturer known for designing compact, innovative, and high-thrill attractions for theme parks worldwide.
-
D.
Intamin
Intamin is a Swiss-based company renowned worldwide for designing and manufacturing major amusement rides and roller coasters for theme parks.
-
E.
Saenger Amusement Company
Saenger Amusement Company was a prominent early 20th-century American theater chain and entertainment company known for developing lavish movie palaces across the Southern United States.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b0893a20819081d4001b8dbc9c36 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:11 p.m.