Triple
T26876803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German–Dutch border region |
E676773
|
entity |
| Predicate | hasCrossBorderInstitution |
P59964
|
FINISHED |
| Object | EUREGIO |
—
|
NE NERFINISHED |
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: EUREGIO | Statement: [German–Dutch border region, hasCrossBorderInstitution, EUREGIO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrossBorderInstitution Context triple: [German–Dutch border region, hasCrossBorderInstitution, EUREGIO]
-
A.
isCrossBorder
Indicates that the relationship or action involves entities located in or spanning across different national or jurisdictional boundaries.
-
B.
hasCrossBorderCenter
Indicates that an entity operates or is associated with a center whose activities, services, or scope extend across national borders.
-
C.
hasCrossBorderInteraction
Indicates that there is an interaction, activity, or relationship occurring between entities located in different countries or jurisdictions.
-
D.
haveMajorCrossBorderOrganization
chosen
Indicates that an entity possesses or is associated with a significant organization that operates across national borders.
-
E.
hasCrossBorderTrade
Indicates that there is trade or commercial exchange occurring between entities located in different countries or jurisdictions.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 5:36 a.m.