Triple
T4006472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzuki Motor Corporation |
E89536
|
entity |
| Predicate | transitionedToIndustry |
P6197
|
FINISHED |
| Object | automobile manufacturing |
—
|
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: automobile manufacturing | Statement: [Suzuki Motor Corporation, transitionedToIndustry, automobile manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transitionedToIndustry Context triple: [Suzuki Motor Corporation, transitionedToIndustry, automobile manufacturing]
-
A.
transitionedInto
chosen
Indicates that one entity changed state, form, role, or condition to become another specified state or entity.
-
B.
positionInIndustry
Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
-
C.
industryTransformed
Indicates that an entity has fundamentally changed the structure, practices, or dynamics of a particular industry.
-
D.
emergedInIndustry
Indicates that an entity first appeared, originated, or came into prominence within a specified industry.
-
E.
relationToIndustry
Indicates how an entity is connected or relevant to a particular industry, such as through involvement, impact, or association.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa8579288190940487ad07e38de0 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8f89f2881909b0965419d15d46c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:34 p.m.