Triple
T14746990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SkyCoaster |
E346497
|
entity |
| Predicate | hasOperationalMode |
P12713
|
FINISHED |
| Object | winch hoist and manual pull-cord release |
—
|
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: winch hoist and manual pull-cord release | Statement: [SkyCoaster, hasOperationalMode, winch hoist and manual pull-cord release]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOperationalMode Context triple: [SkyCoaster, hasOperationalMode, winch hoist and manual pull-cord release]
-
A.
hasWorkingMode
chosen
Indicates that an entity operates under or supports a particular mode or configuration of functioning.
-
B.
hasOperationalComponent
Indicates that an entity includes, uses, or depends on another entity as a functional or operational part of its overall system or process.
-
C.
hasPrimaryModeSupported
Indicates that an entity supports a particular mode as its main or default mode of operation.
-
D.
hasModeConnection
Indicates a relationship where one entity is linked to another through a specific mode, method, or type of connection.
-
E.
hasOperatingMIC
Indicates that an entity operates or manages a specific MIC (Market Identifier Code) in a financial or trading context.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d116e88190828b163b18d80f68 |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.