Triple
T31755060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boomerang roller coaster model |
E810534
|
entity |
| Predicate | elementSequence |
P128039
|
FINISHED |
| Object | lift hill into cobra roll into vertical loop and reverse |
—
|
LITERAL 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: lift hill into cobra roll into vertical loop and reverse | Statement: [Boomerang roller coaster model, elementSequence, lift hill into cobra roll into vertical loop and reverse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elementSequence Context triple: [Boomerang roller coaster model, elementSequence, lift hill into cobra roll into vertical loop and reverse]
-
A.
isSequence
chosen
Indicates that one entity is an ordered list or succession of elements arranged in a specific, meaningful order.
-
B.
isSequenceOf
Indicates that one entity occurs in a specific order directly following or as part of an ordered list relative to another entity.
-
C.
eraSequence
Indicates that one era or time period directly follows or precedes another in a chronological sequence.
-
D.
sequenceInEvent
Indicates that one event occurs as a specific step or ordered part within a larger, encompassing event.
-
E.
sequenceWith
Indicates that one entity occurs in a specific order directly before or after another entity as part of a defined sequence.
- F. None of above.
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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ab7bcad88190acb61c516f87eff0 |
completed | May 3, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:29 p.m.