Triple
T30983963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baugur Group |
E789466
|
entity |
| Predicate | primarySectorOfInvestments |
P16022
|
FINISHED |
| Object | retail |
—
|
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: retail | Statement: [Baugur Group, primarySectorOfInvestments, retail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySectorOfInvestments Context triple: [Baugur Group, primarySectorOfInvestments, retail]
-
A.
primarySectorActivity
Indicates the main industry or sector in which an entity primarily conducts its activities or operations.
-
B.
primarySectorCoverage
Indicates that one entity serves as the main or dominant sector in which another entity operates, focuses, or provides coverage.
-
C.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
-
D.
economicSectors
Indicates a relationship that associates entities with the economic sectors or industries in which they operate or to which they belong.
-
E.
economicSectorSourceOfWealth
chosen
Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0358c946f08190a8fb41c643074475 |
completed | May 12, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_6a03586e5bb08190a71e075fde7cd679 |
completed | May 12, 2026, 4:42 p.m. |
Created at: April 29, 2026, 8:55 p.m.