Triple
T16684018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyo Kogyo Co., Ltd. |
E405411
|
entity |
| Predicate | operatedAsAutomakerUntil |
P25149
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Toyo Kogyo Co., Ltd., operatedAsAutomakerUntil, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedAsAutomakerUntil Context triple: [Toyo Kogyo Co., Ltd., operatedAsAutomakerUntil, 1984]
-
A.
formerManufacturer
chosen
Indicates that an entity previously manufactured another entity but no longer does so.
-
B.
enteredAutomobileProduction
Indicates that an entity began manufacturing automobiles as a commercial or industrial activity.
-
C.
automakerParentCompany
Indicates that one company is the parent company of another company that manufactures automobiles.
-
D.
carManufacturer
Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
-
E.
droveManufacturer
Indicates that a person or agent operated or used a vehicle produced by a specific manufacturer.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d71a66881908c8d06cc074fdf29 |
completed | April 18, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.