Triple
T22378435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B720 |
E553206
|
entity |
| Predicate | designatorForModel |
P82954
|
FINISHED |
| Object | 720 |
—
|
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: 720 | Statement: [B720, designatorForModel, 720]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designatorForModel Context triple: [B720, designatorForModel, 720]
-
A.
designatorType
Indicates the specific role or category of a designator used to identify or reference an entity within a system or context.
-
B.
designatorCategory
Indicates the classification or type assigned to a designator within a given system or context.
-
C.
designModel
Indicates that one entity creates, specifies, or defines the structure or behavior of another entity as a model or blueprint.
-
D.
robotModelDesignation
chosen
Indicates the specific model identifier or designation assigned to a robot.
-
E.
manufacturerDesignation
Indicates that a specific designation, code, or model identifier has been assigned by the manufacturer to the referenced product or item.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582a04ac81908d4d389b150be7f1 |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.