Triple
T9119569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2.5L Duratec inline-4 |
E218808
|
entity |
| Predicate | boreStrokeDesign |
P87198
|
FINISHED |
| Object | undersquare or near-square design (varies by variant) |
—
|
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: undersquare or near-square design (varies by variant) | Statement: [2.5L Duratec inline-4, boreStrokeDesign, undersquare or near-square design (varies by variant)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boreStrokeDesign Context triple: [2.5L Duratec inline-4, boreStrokeDesign, undersquare or near-square design (varies by variant)]
-
A.
cylinderBore
Indicates the diameter of the cylindrical chamber (bore) in which a piston or similar component moves.
-
B.
boltDesign
Indicates a design relationship where one entity specifies or defines the bolt configuration, features, or parameters used in another entity.
-
C.
hasBoreType
Indicates that an entity is characterized by or associated with a specific type of bore (e.g., cylindrical, tapered, rifled).
-
D.
crankshaftType
Indicates the specific design or configuration of a crankshaft that an entity uses or is associated with.
-
E.
numberOfCylinders
Indicates the count of engine cylinders associated with an entity.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8a902e08190a7eb4728f32b9e1d |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc6a3c78388190a7436acc0e44ff55 |
completed | April 1, 2026, 12:43 a.m. |
Created at: March 30, 2026, 7:17 p.m.