Triple
T23585684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierce-Arrow |
E582335
|
entity |
| Predicate | usedEngineType |
P56323
|
FINISHED |
| Object | inline six-cylinder engines |
—
|
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: inline six-cylinder engines | Statement: [Pierce-Arrow, usedEngineType, inline six-cylinder engines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedEngineType Context triple: [Pierce-Arrow, usedEngineType, inline six-cylinder engines]
-
A.
previouslyUsedEngine
Indicates that an engine has been used before in a prior context or application, rather than being new or unused.
-
B.
testedEngineType
Indicates that an engine of a specified type has been subjected to a test or evaluation.
-
C.
engineTypeUsed
chosen
Indicates that a particular type of engine is employed or utilized in relation to a specified entity or system.
-
D.
originalEngineType
Indicates the type or category of engine that an entity was initially or first equipped with.
-
E.
intendedEngineType
Indicates that an entity is designed or specified to use a particular type of engine.
- 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_69e248f8d8248190acd5aee77f0d1709 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b03030f88190bc325f7b4b0137f0 |
completed | April 29, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:41 p.m.