Triple
T3704419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saab Surveillance |
E80855
|
entity |
| Predicate | hasParentCompanyIndustry |
P50889
|
FINISHED |
| Object | defence and security |
—
|
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: defence and security | Statement: [Saab Surveillance, hasParentCompanyIndustry, defence and security]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParentCompanyIndustry Context triple: [Saab Surveillance, hasParentCompanyIndustry, defence and security]
-
A.
hasParentCompany
Indicates that one company is owned or controlled by another company that serves as its parent organization.
-
B.
hasParentCompanyType
Indicates that an entity is associated with a parent company of a specified organizational or business type.
-
C.
hasParentCompanyBusiness
Indicates that one company operates as a business owned or controlled by another company that serves as its parent company.
-
D.
ultimateParentCompany
Indicates that one company is the highest-level controlling entity in a corporate ownership structure, with no parent company above it.
-
E.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
- F. None of above. chosen
Provenance (4 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54aaac88190b775dba2513b6d4a |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc133ef50819094c2b971f31f1615 |
completed | March 8, 2026, 6:34 p.m. |
Created at: March 8, 2026, 3:33 p.m.