Triple
T20546136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing Model 414 |
E504473
|
entity |
| Predicate | belongsToManufacturerSeries |
P39689
|
FINISHED |
| Object | Boeing Model 400 series designations |
—
|
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: Boeing Model 400 series designations | Statement: [Boeing Model 414, belongsToManufacturerSeries, Boeing Model 400 series designations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToManufacturerSeries Context triple: [Boeing Model 414, belongsToManufacturerSeries, Boeing Model 400 series designations]
-
A.
hasModelSeries
chosen
Indicates a relationship where an item or product is associated with a specific model series it belongs to.
-
B.
belongsToProductLine
Indicates that an item or product is associated with and classified under a specific product line.
-
C.
belongsToSeriesRange
Indicates that something is part of, or falls within, a specified series or sequence range.
-
D.
belongsToSubseries
Indicates that one item is part of, or contained within, a more specific subseries of a larger series or collection.
-
E.
usesSameBrandFamilyAs
Indicates that two entities use products or services belonging to the same overarching brand family or brand portfolio.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a298630c8190993d53fc27eb3aec |
completed | April 20, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.