Triple
T19442647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Axe River area |
E486388
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Black Hawk |
—
|
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: Black Hawk | Statement: [Bad Axe River area, associatedWith, Black Hawk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Hawk Context triple: [Bad Axe River area, associatedWith, Black Hawk]
-
A.
Black Hawk
chosen
Black Hawk was a prominent Sauk leader who resisted United States expansion into Native American lands during the early 19th century.
-
B.
Osceola
Osceola was a prominent Seminole leader in the 19th century who became a symbol of Native American resistance to U.S. removal policies during the Second Seminole War.
-
C.
Osceola
Osceola is a small rural community located within the Whitewater Region of eastern Ontario, Canada.
-
D.
Osceola
Osceola is a pseudonym used by Danish author Karen Blixen, best known for her memoir "Out of Africa" and her short stories.
-
E.
Mniszech
Mniszech is a Polish noble family historically associated with the aristocracy of the Polish–Lithuanian Commonwealth.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63386c520819092bea5d7f259a226 |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.