Triple
T28221824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing Commercial Airplanes production network |
E711475
|
entity |
| Predicate | suppliesProduct |
P137951
|
FINISHED |
| Object | Boeing 737 family aircraft |
—
|
NE NERFINISHED |
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 737 family aircraft | Statement: [Boeing Commercial Airplanes production network, suppliesProduct, Boeing 737 family aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suppliesProduct Context triple: [Boeing Commercial Airplanes production network, suppliesProduct, Boeing 737 family aircraft]
-
A.
suppliesTo
Indicates that one entity provides or delivers goods, services, or resources to another entity.
-
B.
suppliesIndustry
Indicates that one entity provides goods, services, or resources to support the operations or needs of an industry or industrial sector.
-
C.
productWith
Indicates a relationship where one entity is associated with, contains, or is offered together with another entity as a product.
-
D.
productFor
Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
-
E.
providedProduct
chosen
Indicates that one entity has supplied or made available a particular product to another entity.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 10:47 p.m.