Triple
T5420724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Fish, Two Fish, Red Fish, Blue Fish |
E121240
|
entity |
| Predicate | rideInteraction |
P63556
|
FINISHED |
| Object | riders control vehicle height |
—
|
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: riders control vehicle height | Statement: [One Fish, Two Fish, Red Fish, Blue Fish, rideInteraction, riders control vehicle height]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rideInteraction Context triple: [One Fish, Two Fish, Red Fish, Blue Fish, rideInteraction, riders control vehicle height]
-
A.
rideSystem
Indicates that one entity uses or travels on a transportation system or service provided by another entity.
-
B.
rides
Indicates that one entity travels on or is carried by another entity as a passenger or operator.
-
C.
rideType
Indicates the specific category or mode of transportation involved in a ride (e.g., standard, shared, premium).
-
D.
drivesOn
Indicates that an entity uses or travels along a particular route, surface, or roadway as its path of movement.
-
E.
transportAssumption
Indicates an assumption that something can be transported or carried from one place or context to another.
- F. None of above. chosen
Provenance (4 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87eac41481908a4982db5d119edd |
completed | March 20, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69bd8469f5e48190bbe5c8bdfe8925ea |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8741e8588190863fd5cfb559136d |
completed | March 20, 2026, 5:43 p.m. |
Created at: March 20, 2026, 2:06 p.m.