Triple
T10020688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Thomas Assembly |
E200601
|
entity |
| Predicate | roleInFordPortfolio |
P80878
|
FINISHED |
| Object | center of production for body-on-frame full-size sedans |
—
|
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: center of production for body-on-frame full-size sedans | Statement: [St. Thomas Assembly, roleInFordPortfolio, center of production for body-on-frame full-size sedans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInFordPortfolio Context triple: [St. Thomas Assembly, roleInFordPortfolio, center of production for body-on-frame full-size sedans]
-
A.
portfolioRole
chosen
Indicates the specific function, capacity, or position an entity holds within a portfolio or collection of assets.
-
B.
roleInProductLine
Indicates the specific functional or organizational role an entity holds within a particular product line.
-
C.
roleInTesla
Indicates that one entity holds or held a specific role, position, or function within the organization Tesla.
-
D.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
E.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd777b208190ad75eac79eec0c2f |
completed | April 2, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:53 p.m.