Triple
T12226278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schmalkaldic League |
E291358
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | City of Emden |
E605282
|
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: City of Emden | Statement: [Schmalkaldic League, hasMember, City of Emden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Emden Context triple: [Schmalkaldic League, hasMember, City of Emden]
-
A.
city of Emden
chosen
The city of Emden is a historic seaport and independent city in northwestern Germany, located in East Frisia on the North Sea coast.
-
B.
Emden
Emden is a historic port city in northwestern Germany known for its maritime industry and location near the North Sea.
-
C.
Heiligenhafen
Heiligenhafen is a coastal town in northern Germany on the Baltic Sea, known for its fishing harbor, beaches, and tourism.
-
D.
City of Zeeland
The City of Zeeland is a small community in western Michigan known for its Dutch heritage, tight-knit neighborhoods, and role as part of the broader Holland–Zeeland urban region.
-
E.
Emder Hafen
Emder Hafen is the historic seaport of the city of Emden in northwestern Germany, serving as an important maritime and commercial hub on the North Sea coast.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca2101c8190955c36704935036a |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aa9023881909f8373e02d2cad4b |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.