Triple
T3738355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SAAB B |
E79639
|
entity |
| Predicate | belongsToCompanyLegalForm |
P51147
|
FINISHED |
| Object | aktiebolag (AB) |
—
|
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: aktiebolag (AB) | Statement: [SAAB B, belongsToCompanyLegalForm, aktiebolag (AB)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToCompanyLegalForm Context triple: [SAAB B, belongsToCompanyLegalForm, aktiebolag (AB)]
-
A.
hasUnderlyingCompanyLegalForm
Indicates that an entity is associated with, or governed by, a specific underlying legal form of a company.
-
B.
usesLegalEntity
Indicates that one entity makes use of, operates through, or conducts activities via a particular legal entity (such as a company, organization, or other legally recognized body).
-
C.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
-
D.
previousLegalForm
Indicates the legal form or organizational status an entity had before its current legal form.
-
E.
legalPersonality
Indicates that an entity possesses recognized legal status, enabling it to hold rights, bear obligations, and act as a subject under the law.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3e9248819098d481fe29e1c628 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc198b95481908ca6e4e875aae446 |
completed | March 8, 2026, 6:36 p.m. |
Created at: March 8, 2026, 3:34 p.m.