Triple
T29128200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Santana |
E738292
|
entity |
| Predicate | assembledIn |
P74928
|
FINISHED |
| Object | China |
—
|
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: China | Statement: [Volkswagen Santana, assembledIn, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assembledIn Context triple: [Volkswagen Santana, assembledIn, China]
-
A.
assembledDuring
Indicates that one entity is put together or constructed within the time period of another event or process.
-
B.
assembledAt
chosen
Indicates that one entity was put together or constructed at a specific location or facility.
-
C.
involvedInComplexAssembly
Indicates that an entity participates in the process of assembling or forming a larger molecular or structural complex.
-
D.
builtAsPartOf
Indicates that one entity was constructed as a component or subset of a larger, encompassing entity or project.
-
E.
assembledNearEndOf
Indicates that one entity is put together or constructed in close proximity to the endpoint or final section of another entity.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6622b76d481909dfcad6d272e74f0 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:30 a.m.