Triple
T9766193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishopric of Dormagen |
E236996
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Dormagen |
E737566
|
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: Dormagen | Statement: [Bishopric of Dormagen, capital, Dormagen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dormagen Context triple: [Bishopric of Dormagen, capital, Dormagen]
-
A.
Dormagen
chosen
Dormagen is a German city in North Rhine-Westphalia situated between Cologne and Düsseldorf, known for its chemical industry and historic town center.
-
B.
Woudenberg
Woudenberg is a small Dutch municipality and town located in the central Netherlands.
-
C.
Meerssen
Meerssen is a historic town and municipality in the Dutch province of Limburg, known for its medieval basilica and scenic location near Maastricht.
-
D.
Dinklage
Dinklage is a small town in Lower Saxony, Germany, known as the birthplace of Cardinal Clemens August Graf von Galen.
-
E.
Rheindahlen
Rheindahlen is a district of Mönchengladbach in western Germany that became well known as a major British military garrison and administrative center during the Cold War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0a15e408190909745cb1c30937d |
completed | April 1, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcf965e88190b505ce160f77e9b7 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.