Triple
T34194789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford FE engine |
E877210
|
entity |
| Predicate | inductionOptions |
P178512
|
FINISHED |
| Object | single 4-barrel carburetor |
—
|
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: single 4-barrel carburetor | Statement: [Ford FE engine, inductionOptions, single 4-barrel carburetor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inductionOptions Context triple: [Ford FE engine, inductionOptions, single 4-barrel carburetor]
-
A.
inductionSetting
Indicates the conditions or configuration under which an induction process or inductive operation is carried out.
-
B.
inductionType
Indicates the specific method or process by which something is brought into a state, condition, or role (e.g., how an entity is initiated, introduced, or caused to occur).
-
C.
inductionCategory
Indicates a relationship where an entity is classified or grouped under a specific category based on an induction process or inductive reasoning.
-
D.
induction
Indicates the process by which one entity causes, initiates, or brings about a state, action, or condition in another.
-
E.
inductionSystem
Indicates a relationship where an entity functions as or is associated with an induction-based system (e.g., using electromagnetic induction for operation or control).
- 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_69f349af20a4819089ac24d28f2d8112 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.