Triple
T22182538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Taylor |
E548205
|
entity |
| Predicate | engineTypeBuilt |
P147280
|
FINISHED |
| Object | four-cylinder gasoline 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: four-cylinder gasoline engine | Statement: [Charlie Taylor, engineTypeBuilt, four-cylinder gasoline engine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engineTypeBuilt Context triple: [Charlie Taylor, engineTypeBuilt, four-cylinder gasoline engine]
-
A.
engineTypeUsed
Indicates that a particular type of engine is employed or utilized in relation to a specified entity or system.
-
B.
engineTypeIncluded
Indicates that a specified engine type is included as part of, or supported within, another entity or configuration.
-
C.
originalEngineType
Indicates the type or category of engine that an entity was initially or first equipped with.
-
D.
testedEngineType
Indicates that an engine of a specified type has been subjected to a test or evaluation.
-
E.
engineIntroduced
Indicates that a particular engine was first introduced or brought into use at a specific time or in a specific context.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa687808190b9959d4e91db948a |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:35 p.m.