Triple
T2176598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swedish Defence Materiel Administration |
E48541
|
entity |
| Predicate | publicSector |
P7658
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Swedish Defence Materiel Administration, publicSector, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicSector Context triple: [Swedish Defence Materiel Administration, publicSector, yes]
-
A.
publicSectorStatus
chosen
Indicates whether an entity is part of, controlled by, or associated with the public sector (e.g., government or state-owned institutions).
-
B.
sector
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
-
C.
sectoralOrganizations
Indicates that there is an organizational relationship specifically structured around a particular sector or industry.
-
D.
publicAgency
Indicates that an entity functions as a government-controlled or government-authorized organization that provides public services or carries out public administration.
-
E.
sectorBenefited
Indicates that a particular sector gains advantage, support, or positive impact from a given action, policy, resource, or 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_69a88aa3faa48190995b233af6525815 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.