Triple
T25290402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrysler PL platform |
E634065
|
entity |
| Predicate | alsoMarketedIn |
P158351
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [Chrysler PL platform, alsoMarketedIn, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoMarketedIn Context triple: [Chrysler PL platform, alsoMarketedIn, Europe]
-
A.
marketedProducts
Indicates that an entity promotes, sells, or otherwise brings specific products to market.
-
B.
alsoSoldAs
Indicates that one item is marketed or available under an alternative name, label, or product identity.
-
C.
marketedWith
Indicates that two or more products or services are promoted together as part of the same marketing effort or campaign.
-
D.
marketedFor
Indicates that something is promoted, advertised, or positioned as being intended or suitable for a particular use, audience, or purpose.
-
E.
marketedFrom
Indicates that a product, service, or offering began to be marketed starting from a specified time or date.
- F. None of above. chosen
Provenance (4 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48fcc8fe88190bf330715354553f6 |
completed | May 1, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f465699c9c8190ac7b4b32b782550c |
completed | May 1, 2026, 8:33 a.m. |
Created at: April 21, 2026, 1:21 p.m.