Triple
T35587912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union for Europe of the Nations |
E1028409
|
entity |
| Predicate | representedRegions |
P194797
|
FINISHED |
| Object | Western Europe |
—
|
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: Western Europe | Statement: [Union for Europe of the Nations, representedRegions, Western Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedRegions Context triple: [Union for Europe of the Nations, representedRegions, Western Europe]
-
A.
includedRegions
Indicates that certain regions are contained within, or form part of, a larger specified region or set of regions.
-
B.
associatedRegions
chosen
Indicates that there is a relevant connection or linkage between an entity and one or more geographic or administrative regions.
-
C.
represented region
Indicates that one entity serves as a symbolic or formal depiction of a specific geographic or spatial area.
-
D.
distributionRegionsInclude
Indicates that certain geographic or market regions are encompassed within the overall distribution coverage of a product or service.
-
E.
exportRegion
Indicates the region or geographic area from which goods, services, or resources are exported.
- 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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff4fc6077c8190b8fd9b43fcfde986 |
completed | May 9, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69ff4e61fb648190a72f7918961ece9c |
completed | May 9, 2026, 3:10 p.m. |
Created at: May 3, 2026, 4:04 p.m.