Triple
T28019953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LGB |
E707657
|
entity |
| Predicate | prototypeRegion |
P164381
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [LGB, prototypeRegion, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: prototypeRegion Context triple: [LGB, prototypeRegion, Germany]
-
A.
programRegion
Indicates a relationship where a program is associated with, operates in, or is applicable to a specific geographic or administrative region.
-
B.
regionOfImplementation
Indicates the geographic or administrative area within which an action, policy, project, or measure is carried out or applied.
-
C.
definesRegionAs
Indicates that one entity specifies or designates another entity as a particular region or regional scope.
-
D.
formationRegion
Indicates the place or area where something originates, is created, or comes into being.
-
E.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
- F. None of above. chosen
Provenance (4 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f644de4a84819087ddb84757fc4585 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641def1e88190a05bf865ced78b23 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f643e818d481908fc66bc91bd25d77 |
completed | May 2, 2026, 6:35 p.m. |
Created at: April 27, 2026, 8:09 p.m.