Triple
T20507260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Dakota Heritage Center & State Museum |
E503466
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Bismarck |
—
|
NE NERFINISHED |
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: Bismarck | Statement: [North Dakota Heritage Center & State Museum, city, Bismarck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bismarck Context triple: [North Dakota Heritage Center & State Museum, city, Bismarck]
-
A.
Bismarck
chosen
Bismarck is a mid-sized city in south-central North Dakota that serves as the state’s political and administrative center.
-
B.
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.
-
C.
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.
-
D.
Dukenburg
Dukenburg is a residential district in the southwest of Nijmegen in the Netherlands, known for its post-war urban planning and local railway connectivity.
-
E.
Tirpitz
Tirpitz was a German Grand Admiral and architect of the Imperial German Navy’s expansion before and during World War I.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc82dd0819085d64d65a1e72c70 |
completed | April 20, 2026, 9:42 p.m. |
Created at: April 16, 2026, 11:36 a.m.