Triple
T633804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spyker Cars |
E15977
|
entity |
| Predicate | brandSloganMeaning |
P13747
|
FINISHED |
| Object | For the tenacious, no road is impassable |
—
|
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: For the tenacious, no road is impassable | Statement: [Spyker Cars, brandSloganMeaning, For the tenacious, no road is impassable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandSloganMeaning Context triple: [Spyker Cars, brandSloganMeaning, For the tenacious, no road is impassable]
-
A.
brandingMeaning
chosen
Indicates the conceptual message, values, or identity that a brand is intended to convey or represent.
-
B.
sloganGivenBy
Indicates that a particular slogan is provided, coined, or assigned by a specific entity.
-
C.
sloganUsedIn
Indicates that a particular slogan is employed or featured within a specific context, such as a campaign, advertisement, or organization.
-
D.
meaningOfPhrase
Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
-
E.
callSignMeaning
Indicates that an entity’s call sign conveys or is associated with a particular meaning or interpretation.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec3b6488190aa0dce216c089a2e |
completed | March 1, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69a49d030c648190ba1a02301b45f694 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.