Triple
T16221510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyota Motor Manufacturing Guangzhou |
E393735
|
entity |
| Predicate | hasProductionActivity |
P19746
|
FINISHED |
| Object | vehicle assembly |
—
|
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: vehicle assembly | Statement: [Toyota Motor Manufacturing Guangzhou, hasProductionActivity, vehicle assembly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionActivity Context triple: [Toyota Motor Manufacturing Guangzhou, hasProductionActivity, vehicle assembly]
-
A.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
B.
hasProductionStatus
Indicates the current stage or condition of an entity’s production process (e.g., planned, in progress, completed, or discontinued).
-
C.
hasProductionUse
Indicates that something is utilized or applied within a production or operational environment.
-
D.
hasProductionRole
Indicates that an entity holds a specific role or function in the production or creation process of another entity.
-
E.
hasActivityIn
chosen
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fbd88081909fac3f075d5ea7f4 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.