Triple
T24801425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trail Rated off-road capability (on certain trims) |
E620532
|
entity |
| Predicate | marketingTermLanguage |
P76956
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Trail Rated off-road capability (on certain trims), marketingTermLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingTermLanguage Context triple: [Trail Rated off-road capability (on certain trims), marketingTermLanguage, English]
-
A.
termLanguage
chosen
Indicates the language in which a given term is expressed or defined.
-
B.
languageOfAds
Indicates that the specified language is used in the advertisements associated with the given entity.
-
C.
marketingNameOf
Indicates that one entity is the marketing or brand name used to promote or refer to another entity.
-
D.
officialTermLanguage
Indicates the language in which an official term is formally expressed or defined.
-
E.
marketingEmphasized
Indicates that a marketing effort or message is given special focus, prominence, or priority relative to other aspects or activities.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:49 a.m.