Triple
T6107815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tivoli family coaster model |
E136158
|
entity |
| Predicate | trackStyle |
P3832
|
FINISHED |
| Object | customizable layouts within standard family coaster parameters |
—
|
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: customizable layouts within standard family coaster parameters | Statement: [Tivoli family coaster model, trackStyle, customizable layouts within standard family coaster parameters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackStyle Context triple: [Tivoli family coaster model, trackStyle, customizable layouts within standard family coaster parameters]
-
A.
trackColor
Indicates the color associated with a given track in a context such as audio, video, or data sequencing.
-
B.
trackGauge
Indicates the distance between the inner faces of the rails in a railway track system.
-
C.
trackPattern
Indicates that one entity follows, monitors, or records the behavior or state of another according to a defined pattern or sequence.
-
D.
trackType
chosen
Indicates the specific kind or category of track associated with an entity, such as its functional or physical classification.
-
E.
track
Indicates that one entity follows, monitors, or keeps a record of another entity’s state, behavior, or progress over time.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b81fad081909b622cafc6d51249 |
completed | March 22, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.