Triple
T32918869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kreenholm textile factory complex |
E842089
|
entity |
| Predicate | employsOrEmployed |
P181689
|
FINISHED |
| Object | thousands of workers |
—
|
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: thousands of workers | Statement: [Kreenholm textile factory complex, employsOrEmployed, thousands of workers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employsOrEmployed Context triple: [Kreenholm textile factory complex, employsOrEmployed, thousands of workers]
-
A.
employedTo
Indicates that one entity is hired or engaged to perform work, services, or duties for another entity.
-
B.
employedThrough
Indicates that an entity holds a job or work position by means of, or via the arrangement of, another entity (such as an agency, contractor, or intermediary).
-
C.
employedUnder
Indicates that one entity works as an employee under the authority, supervision, or organizational structure of another entity.
-
D.
commonEmployment
Indicates that two or more entities share the same employer or have worked for the same organization.
-
E.
employerStatus
Indicates the current employment relationship or condition between an employer and a worker, such as whether the person is actively employed, terminated, retired, or on leave.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f7805c25dc8190b9977c561ba15975 |
completed | May 3, 2026, 5:05 p.m. |
Created at: May 1, 2026, 1:19 a.m.