Triple
T16180367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honda Global Light Truck platform |
E392667
|
entity |
| Predicate | componentSharing |
P13870
|
FINISHED |
| Object | chassis components |
—
|
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: chassis components | Statement: [Honda Global Light Truck platform, componentSharing, chassis components]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentSharing Context triple: [Honda Global Light Truck platform, componentSharing, chassis components]
-
A.
sharesComponentsWith
chosen
Indicates that two entities have one or more structural or functional components in common.
-
B.
sharesElementsWith
Indicates that two entities have one or more elements or components in common.
-
C.
isSharedBy
Indicates that something is jointly possessed, used, or experienced by two or more entities.
-
D.
sharesResourcesWith
Indicates that two entities mutually use, access, or allocate the same resources.
-
E.
sharesModuleWith
Indicates that two entities are associated with or participate in at least one common module.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205c92b48190b7125dbbcff3662e |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.