Triple
T1416676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Dakota |
E31933
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Bismarck
Bismarck is a mid-sized city in south-central North Dakota that serves as the state’s political and administrative center.
|
E161746
|
NE FINISHED |
How this triple was built (4 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: Bismarck | Statement: [North Dakota, capital, Bismarck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bismarck Context triple: [North Dakota, capital, Bismarck]
-
A.
Bismarck
Bismarck was a famous German World War II battleship renowned for its powerful armament, heavy armor, and dramatic sinking after a major North Atlantic pursuit.
-
B.
Prince of Bismarck
Prince of Bismarck is a hereditary noble title in the German aristocracy historically associated with the statesman Otto von Bismarck and his descendants.
-
C.
Tirpitz
Tirpitz was a German World War II battleship, sister ship to Bismarck, known for its powerful presence in Norwegian waters and the significant Allied efforts devoted to neutralizing it.
-
D.
Emden
Emden is a historic port city in northwestern Germany known for its maritime industry and location near the North Sea.
-
E.
Zimmermann
Zimmermann is a German surname commonly associated with the occupation of a carpenter or builder.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bismarck Triple: [North Dakota, capital, Bismarck]
Generated description
Bismarck is a mid-sized city in south-central North Dakota that serves as the state’s political and administrative center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bismarck Target entity description: Bismarck is a mid-sized city in south-central North Dakota that serves as the state’s political and administrative center.
-
A.
Bismarck
Bismarck was a famous German World War II battleship renowned for its powerful armament, heavy armor, and dramatic sinking after a major North Atlantic pursuit.
-
B.
Prince of Bismarck
Prince of Bismarck is a hereditary noble title in the German aristocracy historically associated with the statesman Otto von Bismarck and his descendants.
-
C.
Tirpitz
Tirpitz was a German World War II battleship, sister ship to Bismarck, known for its powerful presence in Norwegian waters and the significant Allied efforts devoted to neutralizing it.
-
D.
Emden
Emden is a historic port city in northwestern Germany known for its maritime industry and location near the North Sea.
-
E.
Zimmermann
Zimmermann is a German surname commonly associated with the occupation of a carpenter or builder.
- F. None of above. chosen
Provenance (5 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c403ccdc8190b2a5fda037b6ea34 |
completed | March 1, 2026, 10:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace5833bb88190bcaf8cf46264ab26 |
completed | March 8, 2026, 2:57 a.m. |
| NEDg | Description generation | batch_69ace61c6f348190bba7717b1bd7f24a |
completed | March 8, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace6eeb99081908ac23a6c71faeae6 |
completed | March 8, 2026, 3:03 a.m. |
Created at: March 1, 2026, 7:59 p.m.