Triple
T9553249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nena |
E230474
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Hagen, North Rhine-Westphalia, West Germany |
E291575
|
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: Hagen, North Rhine-Westphalia, West Germany | Statement: [Nena, placeOfBirth, Hagen, North Rhine-Westphalia, West Germany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hagen, North Rhine-Westphalia, West Germany Context triple: [Nena, placeOfBirth, Hagen, North Rhine-Westphalia, West Germany]
-
A.
Hamm, Germany
Hamm is a city in the German state of North Rhine-Westphalia, known as an industrial and transportation hub in the eastern Ruhr area.
-
B.
Hagen
chosen
Hagen is a city in the Ruhr region of North Rhine-Westphalia in western Germany, known historically as an industrial and transport hub.
-
C.
Hagen
Hagen is a surname of German origin borne by various notable individuals across fields such as music, sports, and academia.
-
D.
Hanover, Lower Saxony, Germany
Hanover, Lower Saxony, Germany is a major northern German city and regional capital known for its trade fairs, cultural institutions, and historical role as a former royal seat.
-
E.
Rheine, Germany
Rheine, Germany is a city in the state of North Rhine-Westphalia known as an industrial and transportation hub in northwestern Germany.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99217de48190b528e14fd02ee987 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15286f7c881909258b9f06a81e464 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 8:02 p.m.