Triple
T15689112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laramie |
E380278
|
entity |
| Predicate | typicalInterior |
P119771
|
FINISHED |
| Object | leather-trimmed seating (on many model years) |
—
|
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: leather-trimmed seating (on many model years) | Statement: [Laramie, typicalInterior, leather-trimmed seating (on many model years)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInterior Context triple: [Laramie, typicalInterior, leather-trimmed seating (on many model years)]
-
A.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
B.
interiorFloor
Indicates that one entity is the interior floor surface or flooring of another enclosing space or structure.
-
C.
typicalHouse
Indicates that something is a standard or representative example of a house in terms of its usual features, structure, or characteristics.
-
D.
interiorOrganization
Indicates how the internal parts or elements of something are arranged, structured, or organized in relation to one another.
-
E.
hasRichInteriorDecoration
Indicates that an entity features elaborate, ornate, or luxuriously detailed interior decoration.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4cee5481908699fbb2b7bdd2f6 |
completed | April 16, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69deda8c856c8190882330114f9a1a5f |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:44 a.m.