Triple
T24626981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GM PATAC K platform |
E609568
|
entity |
| Predicate | engineeringCenter |
P152703
|
FINISHED |
| Object | Pan Asia Technical Automotive Center |
—
|
NE NERFINISHED |
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: Pan Asia Technical Automotive Center | Statement: [GM PATAC K platform, engineeringCenter, Pan Asia Technical Automotive Center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engineeringCenter Context triple: [GM PATAC K platform, engineeringCenter, Pan Asia Technical Automotive Center]
-
A.
primaryEngineeringCenter
Indicates that an entity serves as the main or central engineering facility or hub for another entity.
-
B.
industryCenter
Indicates that a location functions as a primary hub or focal point for industrial activity or production.
-
C.
researchCenter
Indicates that one entity functions as a research center associated with, operated by, or focused on the other entity.
-
D.
developmentCenteredOn
Indicates that the primary focus or core activity of a development process, project, or initiative is oriented around a particular entity or aspect.
-
E.
engineeringLocation
chosen
Indicates the place where engineering-related work, design, or technical development for an entity is carried out.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.