Triple
T28882478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonn district of Gronau |
E732453
|
entity |
| Predicate | post1990sRole |
P165694
|
FINISHED |
| Object | core area of Bonn as UN city |
—
|
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: core area of Bonn as UN city | Statement: [Bonn district of Gronau, post1990sRole, core area of Bonn as UN city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: post1990sRole Context triple: [Bonn district of Gronau, post1990sRole, core area of Bonn as UN city]
-
A.
roleAfter2001
Indicates that an entity holds or assumes a particular role or position at some point after the year 2001.
-
B.
post1989Role
Indicates the role or position an entity held after the year 1989.
-
C.
post1978Role
Indicates a role or position that an entity held starting after the year 1978.
-
D.
roleAfter2003
Indicates that an entity holds or assumes a particular role or position at some point after the year 2003.
-
E.
statusDuring1990s
Indicates the status or condition that held for an entity throughout some or all of the 1990s time period.
- 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_69f05b07bdec819080cadfe147aa1f25 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65a6eaf04819099d26898306ffe41 |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 7:46 a.m.