Triple
T2472952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley-Davidson |
E55018
|
entity |
| Predicate | hasEngineConfiguration |
P13644
|
FINISHED |
| Object | V-twin engine |
—
|
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: V-twin engine | Statement: [Harley-Davidson, hasEngineConfiguration, V-twin engine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEngineConfiguration Context triple: [Harley-Davidson, hasEngineConfiguration, V-twin engine]
-
A.
hasConfiguration
chosen
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
B.
previouslyUsedEngine
Indicates that an engine has been used before in a prior context or application, rather than being new or unused.
-
C.
testedEngineType
Indicates that an engine of a specified type has been subjected to a test or evaluation.
-
D.
hasRailConfiguration
Indicates that an entity is associated with, or characterized by, a particular arrangement or setup of rails.
-
E.
hasWingConfiguration
Indicates how an entity’s wings are arranged, structured, or configured relative to its body or to each other.
- 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1eb3be481908fa7c6b8f1c78209 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b5e3d481909a5cbc4a96edd24f |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:45 p.m.