Triple
T35811146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jáchymov uranium mines |
E1035231
|
entity |
| Predicate | typeOfLaborUsed |
P203718
|
FINISHED |
| Object | political prisoners |
—
|
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: political prisoners | Statement: [Jáchymov uranium mines, typeOfLaborUsed, political prisoners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLaborUsed Context triple: [Jáchymov uranium mines, typeOfLaborUsed, political prisoners]
-
A.
hasManualLabor
Indicates that one entity performs or is responsible for physical or manual work in relation to another entity or context.
-
B.
labourOf
Indicates that one entity is the work, effort, or labor performed or contributed by another entity.
-
C.
laborActionType
Indicates the specific kind of labor-related action or event (such as a strike, lockout, or protest) that characterizes the relationship or situation.
-
D.
performedLabourAt
Indicates that an entity carried out work or labor activities at a specific place or organization.
-
E.
hasNumberOfLabors
Indicates the specific count of labors or tasks associated with an entity.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01d077dcec8190b05b24b5de313b15 |
completed | May 11, 2026, 12:50 p.m. |
| PD | Predicate disambiguation | batch_6a01cea0e37881909cb6888518c6d12f |
completed | May 11, 2026, 12:42 p.m. |
| PDg | Predicate description generation | batch_6a01d0771fb88190809ac7ba18fb6565 |
completed | May 11, 2026, 12:49 p.m. |
Created at: May 3, 2026, 4:06 p.m.