Triple
T24800915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrysler/Mitsubishi GS platform (first generation) |
E620518
|
entity |
| Predicate | intendedSegment |
P157146
|
FINISHED |
| Object | D-segment vehicles |
—
|
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: D-segment vehicles | Statement: [Chrysler/Mitsubishi GS platform (first generation), intendedSegment, D-segment vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedSegment Context triple: [Chrysler/Mitsubishi GS platform (first generation), intendedSegment, D-segment vehicles]
-
A.
intendedSegment
chosen
Indicates that one entity is the target or designated recipient segment for another entity (such as a message, offer, or action).
-
B.
appearsInSegmentOf
Indicates that one entity occurs within, or is featured as part of, a specific segment or subsection of another entity.
-
C.
segmentPosition
Indicates the relative location or ordering of a segment within a larger sequence or structure.
-
D.
returnSegment
Indicates that an entity represents a segment or portion of a return, such as a specific leg, phase, or component of a return process or journey.
-
E.
segmentDirected
Indicates that one segment has a specified direction or orientation from one endpoint toward another.
- 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.