Triple
T38540708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spirit AeroSystems Holdings, Inc. |
E924825
|
entity |
| Predicate | keyProgramInvolvement |
P98447
|
FINISHED |
| Object | Boeing 737 program |
—
|
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 program | Statement: [Spirit AeroSystems Holdings, Inc., keyProgramInvolvement, Boeing 737 program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyProgramInvolvement Context triple: [Spirit AeroSystems Holdings, Inc., keyProgramInvolvement, Boeing 737 program]
-
A.
keyProgram
Indicates that a program or application is designated as a primary, central, or most important one within a given context or system.
-
B.
roleInPrograms
chosen
Indicates that an entity holds a specific role or function within one or more programs.
-
C.
companyProgram
Indicates that a program is organized, operated, or sponsored by a specific company.
-
D.
coordinatesProgramsOf
Indicates that one entity organizes and manages the activities or operations of another entity’s programs to ensure they function in a unified and efficient manner.
-
E.
typeOfInvolvement
Indicates the specific role, capacity, or manner in which one entity is involved with or participates in another entity or activity.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd2e9f0a8819096d4ef1dfefc8db0 |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.