Triple
T21836998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M923A1 |
E539144
|
entity |
| Predicate | hasCargoSides |
P55350
|
FINISHED |
| Object | drop-side cargo bed |
—
|
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: drop-side cargo bed | Statement: [M923A1, hasCargoSides, drop-side cargo bed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCargoSides Context triple: [M923A1, hasCargoSides, drop-side cargo bed]
-
A.
hasCargoAccess
Indicates that an entity has the ability or permission to access a designated cargo area or its contents.
-
B.
hasCargoDoorVariant
Indicates that one entity is a specific cargo-door-equipped version or configuration variant of another entity.
-
C.
hasSideWalls
chosen
Indicates that an object or structure possesses side walls as part of its physical configuration.
-
D.
hasCargoDivision
Indicates that an organization possesses a specific division or unit responsible for cargo-related operations or services.
-
E.
supportsCargoType
Indicates that one entity is capable of handling, transporting, or accommodating a specified type of cargo.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a890208190a902184e60194e1c |
completed | April 28, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:55 p.m.