Triple
T20874043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inverted Boomerang |
E513969
|
entity |
| Predicate | rideCycle |
P26168
|
FINISHED |
| Object | forward pass then backward pass through inversions |
—
|
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: forward pass then backward pass through inversions | Statement: [Inverted Boomerang, rideCycle, forward pass then backward pass through inversions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rideCycle Context triple: [Inverted Boomerang, rideCycle, forward pass then backward pass through inversions]
-
A.
touringCycle
Indicates a cyclical sequence of tours or visits that repeatedly occur in a recurring pattern.
-
B.
bikeType
Indicates the specific kind or category of bicycle associated with an entity.
-
C.
hasRideCycle
chosen
Indicates that one entity is associated with, or participates in, a recurring sequence or cycle of rides or ride operations.
-
D.
bicycleUse
Indicates that an entity makes use of a bicycle for transportation, activity, or other purposes.
-
E.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c46639308190a616193f3975d453 |
completed | April 21, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.