Triple
T25746094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrysler Cordoba |
E648347
|
entity |
| Predicate | sloganOrPhraseAssociated |
P132650
|
FINISHED |
| Object | "rich Corinthian leather" |
—
|
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: "rich Corinthian leather" | Statement: [Chrysler Cordoba, sloganOrPhraseAssociated, "rich Corinthian leather"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sloganOrPhraseAssociated Context triple: [Chrysler Cordoba, sloganOrPhraseAssociated, "rich Corinthian leather"]
-
A.
associatedWithFamousSlogan
Indicates that an entity is connected to, known for, or commonly linked with a particular famous slogan.
-
B.
sloganUsedBy
Indicates that a particular slogan is employed or adopted by a specific entity (such as a person, organization, or brand) in its communication or branding.
-
C.
coOccurringSlogan
Indicates that two slogans appear together within the same context, instance, or usage.
-
D.
sloganUsedIn
Indicates that a particular slogan is employed or featured within a specific context, such as a campaign, advertisement, or organization.
-
E.
hasSloganOrKeyPhrase
chosen
Indicates that an entity is associated with a specific slogan, tagline, or key phrase used to represent or promote it.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fd1fb8d88190a03c705fecf22634 |
completed | May 2, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 3:51 a.m.