Triple
T10908794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ford F-7 |
E257638
|
entity |
| Predicate | partOfGeneration |
P96348
|
FINISHED |
| Object | first-generation Ford F-Series |
—
|
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: first-generation Ford F-Series | Statement: [Ford F-7, partOfGeneration, first-generation Ford F-Series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfGeneration Context triple: [Ford F-7, partOfGeneration, first-generation Ford F-Series]
-
A.
generationOf
Indicates that one entity is the origin, creator, or producer of another entity.
-
B.
denotesGeneration
Indicates that one entity originates, produces, or gives rise to another entity, establishing a generative or causal source-result relationship between them.
-
C.
generation
Indicates the relationship in which one entity produces, creates, or brings another entity into existence.
-
D.
isGeneratedInPartBy
Indicates that something comes into existence or is produced partly as a result of another thing or process, but not solely by it.
-
E.
targetGenerationDepicted
Indicates that one entity visually represents or portrays the generation (age cohort) associated with another entity.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7706824d08190ba894d144cc6b3ba |
completed | April 9, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69d70d3d69e08190bb369e9a7927142c |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:22 p.m.