Triple
T33423399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granada GL |
E855902
|
entity |
| Predicate | appliesToGeneration |
P188429
|
FINISHED |
| Object | second-generation Ford Granada (North America) |
—
|
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: second-generation Ford Granada (North America) | Statement: [Granada GL, appliesToGeneration, second-generation Ford Granada (North America)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToGeneration Context triple: [Granada GL, appliesToGeneration, second-generation Ford Granada (North America)]
-
A.
appliedToGeneration
Indicates that an action, rule, or process is directed toward or used on a specific generation or age cohort.
-
B.
refersToGeneration
chosen
Indicates that one entity is associated with, or designates, a particular generation or age cohort of another entity.
-
C.
introducedInGeneration
Indicates that an entity first appeared or was originally introduced in a specified generation within a series or system.
-
D.
supportsGeneration
Indicates that one entity enables, facilitates, or is compatible with the creation or production of another entity or outcome.
-
E.
offeredOnGeneration
Indicates that something is proposed or made available at the moment it is created or generated.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: May 1, 2026, 1:36 a.m.