Triple
T9063612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMC Suburban |
E217188
|
entity |
| Predicate | hasBodyConfiguration |
P27802
|
FINISHED |
| Object | long-wheelbase SUV |
—
|
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: long-wheelbase SUV | Statement: [GMC Suburban, hasBodyConfiguration, long-wheelbase SUV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBodyConfiguration Context triple: [GMC Suburban, hasBodyConfiguration, long-wheelbase SUV]
-
A.
hasBodyOf
Indicates that one entity possesses, contains, or is composed of the physical body or main substance of another entity.
-
B.
hasSupportBody
Indicates that one entity serves as a supporting structure or body for another entity.
-
C.
bodyConfiguration
chosen
Indicates the specific physical arrangement, posture, or structural setup of an entity’s body in relation to its parts or environment.
-
D.
hasTopBody
Indicates that one entity possesses or is characterized by a primary upper body section.
-
E.
hasPolicyBody
Indicates that an entity is associated with, or defined by, a specific policy document or policy text.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94b9f28481909e20366b0e3d14aa |
completed | April 1, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:11 p.m.