Triple
T22671840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miranda do Douro |
E560235
|
entity |
| Predicate | crossBorderRelations |
P130733
|
FINISHED |
| Object | economic ties with Spanish neighboring towns |
—
|
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: economic ties with Spanish neighboring towns | Statement: [Miranda do Douro, crossBorderRelations, economic ties with Spanish neighboring towns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossBorderRelations Context triple: [Miranda do Douro, crossBorderRelations, economic ties with Spanish neighboring towns]
-
A.
crossBorderCooperationTopic
chosen
Indicates that the relationship or action involves cooperation that takes place across national or regional borders on a specific topic or issue.
-
B.
crossBorderRegion
Indicates a region that spans or intersects the boundary between two or more distinct territorial or jurisdictional areas.
-
C.
crossBorderCooperationStructure
Indicates a formal arrangement or framework through which entities from different countries collaborate and coordinate activities across national borders.
-
D.
countryBorderRelation
Indicates that two countries share a common land or maritime boundary with each other.
-
E.
crossBorderTradeHub
Indicates a location or entity that serves as a central point for facilitating, coordinating, or processing trade activities that occur across national or regional borders.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17820a8088190bc0ce907adf95863 |
completed | April 29, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:10 p.m.