Triple
T13582814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J-bar |
E324463
|
entity |
| Predicate | energyTransferMethod |
P110163
|
FINISHED |
| Object | towing via friction between bar and rider |
—
|
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: towing via friction between bar and rider | Statement: [J-bar, energyTransferMethod, towing via friction between bar and rider]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyTransferMethod Context triple: [J-bar, energyTransferMethod, towing via friction between bar and rider]
-
A.
heatTransferMethod
Indicates the mechanism or process by which heat is transferred from one entity or system to another.
-
B.
energyExchangeAbility
Indicates the capacity of one entity to transfer, share, or convert energy with another entity within a given context.
-
C.
transferredPowerTo
Indicates that one entity has passed control, authority, or energy to another entity.
-
D.
involvesParticleTransfer
Indicates that the relationship or action includes the movement or exchange of discrete particles from one entity to another.
-
E.
usesEnergyConversion
Indicates that an entity performs or involves a process where one form of energy is transformed into another to achieve a function or outcome.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb031e8048190a5f2ea934308036c |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf7fefa881908471f1400f813ccc |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.