Triple
T15764432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flemish people |
E382180
|
entity |
| Predicate | economicRoleCurrently |
P105908
|
FINISHED |
| Object | industrial and service economy |
—
|
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: industrial and service economy | Statement: [Flemish people, economicRoleCurrently, industrial and service economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicRoleCurrently Context triple: [Flemish people, economicRoleCurrently, industrial and service economy]
-
A.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
B.
sectorEmploymentRole
chosen
Indicates the specific role or function an entity holds within a particular employment sector or industry.
-
C.
roleDuringOccupation
Indicates the specific role or position an entity held during a particular occupation or period of control.
-
D.
socialRoleInWork
Indicates the role or position an entity holds within a work-related or professional social context.
-
E.
politicalOrSocialRole
Indicates that an entity holds or is associated with a specific political or social position, function, or status within a group or society.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b6c9fc8190a1bcf763c4b04b12 |
completed | April 16, 2026, 3 a.m. |
| PD | Predicate disambiguation | batch_69e00531e7ac8190a4190cce4f7fab4c |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:47 a.m.