Triple
T10353175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flint E-55 |
E243932
|
entity |
| Predicate | manufacturerGoal |
P93824
|
FINISHED |
| Object | compete in mid- to upper-priced car market |
—
|
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: compete in mid- to upper-priced car market | Statement: [Flint E-55, manufacturerGoal, compete in mid- to upper-priced car market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturerGoal Context triple: [Flint E-55, manufacturerGoal, compete in mid- to upper-priced car market]
-
A.
machineGoal
Indicates that a machine or automated system has a specific objective, target state, or outcome it is intended or programmed to achieve.
-
B.
engineeringGoal
Indicates that an entity has a specific engineering-related objective, target, or desired outcome it is intended to achieve or support.
-
C.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
D.
goalType
Indicates the specific category or nature of a goal associated with an entity or action.
-
E.
brandingGoal
Indicates the strategic objective or desired outcome that an entity aims to achieve through its branding efforts.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e949b8e88190ad933399323aed73 |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:57 a.m.