Triple
T12245251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koło |
E291833
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Warthbrücken |
E291833
|
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: Warthbrücken | Statement: [Koło, hasGermanName, Warthbrücken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warthbrücken Context triple: [Koło, hasGermanName, Warthbrücken]
-
A.
Warthbrücken
chosen
Warthbrücken is the German name for the Polish town of Koło, located in central Poland on the Warta River.
-
B.
Kindelbrück
Kindelbrück is a small town in the German state of Thuringia, situated in the Unstrut river valley and known for its rural character and historical architecture.
-
C.
Königsbrück
Königsbrück is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and proximity to the Königsbrück Heath nature reserve.
-
D.
Quaibrücke
Quaibrücke is a prominent road and tram bridge in central Zurich, Switzerland, connecting the old town with the lakeside area where the Limmat River flows out of Lake Zurich.
-
E.
Bersenbrück
Bersenbrück is a small town in Lower Saxony, Germany, known for its historic abbey and its location on the river Hase.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb893a08190bbdfcb23082b8f34 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab7b9308190b621b71d75aa10cc |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.