Triple
T22558032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poland and Germany |
E557737
|
entity |
| Predicate | haveLaborMobility |
P117584
|
FINISHED |
| Object | cross-border commuting |
—
|
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: cross-border commuting | Statement: [Poland and Germany, haveLaborMobility, cross-border commuting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveLaborMobility Context triple: [Poland and Germany, haveLaborMobility, cross-border commuting]
-
A.
hasRefugeeMovements
Indicates that there are movements or flows of refugees involving the related entities, such as people fleeing from one place and arriving in another.
-
B.
supportsMobilityBetween
chosen
Indicates that one entity enables, facilitates, or allows movement or travel between two or more other entities or locations.
-
C.
haveVisaLiberalizationWith
Indicates that there exists a mutual agreement or policy framework under which entities allow eased or visa-free travel between them.
-
D.
hasSignificantEmigrationTo
Indicates that a substantial number of people leave one place, group, or entity to move and settle in another specific place, group, or entity.
-
E.
limitedImmigrationFrom
Indicates that an entity restricts or caps the number or conditions of immigrants coming from a specified source entity.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f7b06e08190b3ca82a783965942 |
completed | April 29, 2026, 1:31 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:52 p.m.