Triple
T17885599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tech-9 |
E447191
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Dakota City |
—
|
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: Dakota City | Statement: [Tech-9, associatedWith, Dakota City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dakota City Context triple: [Tech-9, associatedWith, Dakota City]
-
A.
Dakota City
chosen
Dakota City is a fictional, crime-ridden urban metropolis in the Milestone Comics universe that serves as the primary backdrop for many of its superhero stories.
-
B.
Dakota City, Nebraska
Dakota City, Nebraska is a small village that serves as the county seat of Dakota County in northeastern Nebraska, located along the Missouri River.
-
C.
Rapid City
Rapid City is a city in western South Dakota known as a gateway to the Black Hills and nearby Mount Rushmore.
-
D.
Yankton
Yankton are a Native American group that forms one of the principal divisions of the Dakota (Sioux) people, traditionally living in the Upper Midwest region of the United States.
-
E.
Tucumcari
Tucumcari is a small city in eastern New Mexico known for its historic Route 66 landmarks and role as a regional service and tourism hub.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c123748819091bf46178105079b |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.