Triple
T9852224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Hansen |
E239494
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Rendsburg |
E228981
|
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: Rendsburg | Statement: [Christian Hansen, placeOfBirth, Rendsburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rendsburg Context triple: [Christian Hansen, placeOfBirth, Rendsburg]
-
A.
Rendsburg
chosen
Rendsburg is a historic town in northern Germany known for its strategic location on the Kiel Canal and its distinctive high railway bridge.
-
B.
Friedrichstadt
Friedrichstadt is a historic canal town in northern Germany’s Schleswig-Holstein, known for its Dutch-style architecture and waterways.
-
C.
Lauenburg
Lauenburg is a historic town in northern Germany situated on the banks of the Elbe River.
-
D.
Borghorst
Borghorst is a district of the German town Steinfurt in North Rhine-Westphalia, known historically for its textile industry and regional cultural heritage.
-
E.
Neumünster
Neumünster is a mid-sized industrial and commercial city in northern Germany known for its textile history and central location within Schleswig-Holstein.
- 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_69ca84e4fdc08190a624425bcef98665 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb375ba448190a32cca2b0f376ac1 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1ead91ee88190bd4cb28ab16bf703 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:34 p.m.