Triple
T34061052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foreign relations of Germany |
E873492
|
entity |
| Predicate | hasPriorityRegion |
P203858
|
FINISHED |
| Object | European Union |
E4332
|
NE 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: European Union | Statement: [Foreign relations of Germany, hasPriorityRegion, European Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPriorityRegion Context triple: [Foreign relations of Germany, hasPriorityRegion, European Union]
-
A.
hasHigherLevelRegion
Indicates that one region is geographically or administratively contained within and subordinate to a larger, higher-level region.
-
B.
hasPriorityAt
Indicates that one entity holds a specified level of priority or precedence at a particular time, place, or context relative to others.
-
C.
hasPrimaryExchangeRegion
Indicates that an entity’s main or principal exchange activity occurs within a specified geographic region.
-
D.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
E.
hasBaseRegion
Indicates that one entity is situated upon, supported by, or primarily associated with a specific underlying region or area.
- F. None of above. chosen
Provenance (5 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0226c8b2f881909de3c1a5ba40fc49 |
completed | May 11, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36a03634408190973233703a87ee9a |
completed | June 20, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_6a0225602acc8190978ab4aacc615b8d |
completed | May 11, 2026, 6:52 p.m. |
| PDg | Predicate description generation | batch_6a0226c7f31c819093c2049efccbacbc |
completed | May 11, 2026, 6:58 p.m. |
Created at: May 1, 2026, 1:52 a.m.