Triple
T38687059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 326 cu in Pontiac V8 |
E949145
|
entity |
| Predicate | notableApplicationType |
P206614
|
FINISHED |
| Object | intermediate-sized Pontiac models |
—
|
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: intermediate-sized Pontiac models | Statement: [326 cu in Pontiac V8, notableApplicationType, intermediate-sized Pontiac models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableApplicationType Context triple: [326 cu in Pontiac V8, notableApplicationType, intermediate-sized Pontiac models]
-
A.
notableAppCategory
Indicates that an application is recognized as significant or prominent within a particular category or classification of apps.
-
B.
notableApplicationDevelopedOn
Indicates that a notable software application was created or built to run on a particular platform, system, or technology.
-
C.
notableApp
Indicates that an application is recognized as significant, prominent, or noteworthy in some context.
-
D.
applicationTool
Indicates that one entity is a tool or instrument used to apply, operate, or carry out the function of another entity.
-
E.
targetApplications
Indicates the applications, systems, or use cases that a given item, feature, or process is intended to be used with or applied to.
- 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_69f76efe16148190befd5dd59c3dfeaa |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a2026248190b894436a578d79ac |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:33 p.m.