Triple
T31630614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Düren district |
E807152
|
entity |
| Predicate | partOfGovernmentRegion |
P88454
|
FINISHED |
| Object | Cologne Government Region |
—
|
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: Cologne Government Region | Statement: [Düren district, partOfGovernmentRegion, Cologne Government Region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfGovernmentRegion Context triple: [Düren district, partOfGovernmentRegion, Cologne Government Region]
-
A.
federalGovernmentSubdivision
Indicates that one governmental entity is an administrative or political subdivision within a larger federal government structure.
-
B.
sectorOfGovernedEntity
Indicates the economic or administrative sector to which a governed entity (such as a jurisdiction or organization under governance) belongs.
-
C.
governmentalUnit
Indicates that one entity functions as a governmental or administrative unit in relation to another entity.
-
D.
hasRegionalGovernmentAbove
chosen
Indicates that one governmental unit is hierarchically subordinate to, and governed or overseen by, a higher-level regional government.
-
E.
governorSeatRegion
Indicates the region in which a governor’s official seat or office is located.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff691f5ae481908597ce245188d31c |
completed | May 9, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69ff67ceeeb081909fd00cad166c4b6a |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 30, 2026, 10:45 p.m.