Triple
T6695767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrysler Town & Country |
E152744
|
entity |
| Predicate | trimPositioning |
P9544
|
FINISHED |
| Object | positioned as more upscale than Dodge-branded minivans |
—
|
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: positioned as more upscale than Dodge-branded minivans | Statement: [Chrysler Town & Country, trimPositioning, positioned as more upscale than Dodge-branded minivans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trimPositioning Context triple: [Chrysler Town & Country, trimPositioning, positioned as more upscale than Dodge-branded minivans]
-
A.
stylePositioning
Indicates how an entity is spatially or visually arranged or aligned relative to a reference frame or other elements.
-
B.
positioning
chosen
Indicates the spatial or contextual arrangement of one entity relative to another or within a given environment.
-
C.
trimPositionIn88Line
Indicates the position or location where trimming occurs within an 88-character (or 88-unit) line.
-
D.
initiallyPositionedAs
Indicates that one entity’s starting or original position is specified relative to another entity or reference frame.
-
E.
scalePosition
Indicates the relative location or index of an element within a defined scale or ordered measurement framework.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b5ed99e48190970805225458ce82 |
completed | March 27, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0e1d348190af1762ea1951038e |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:05 p.m.