Triple
T2990012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 69 |
E80725
|
entity |
| Predicate | passesThroughCity |
P416
|
FINISHED |
| Object | Albert Lea, Minnesota |
E316277
|
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: Albert Lea, Minnesota | Statement: [U.S. Route 69, passesThroughCity, Albert Lea, Minnesota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Lea, Minnesota Context triple: [U.S. Route 69, passesThroughCity, Albert Lea, Minnesota]
-
A.
Albert Lea, Minnesota
chosen
Albert Lea, Minnesota is a small southern Minnesota city known as a regional hub near the Iowa border, surrounded by lakes and intersected by major highways.
-
B.
Lansing, Minnesota
Lansing, Minnesota is a small community located in Mower County in the southeastern part of the state.
-
C.
Anoka, Minnesota
Anoka, Minnesota is a city in the Twin Cities metropolitan area known as the "Halloween Capital of the World" for its long-running Halloween celebrations.
-
D.
Adams, Minnesota
Adams, Minnesota is a small rural city located in Mower County in the southeastern part of the state.
-
E.
Ostrander, Minnesota
Ostrander, Minnesota is a small rural city located in southeastern Minnesota within Fillmore County.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99dcdb00819092ca5f10396408e0 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e3654388190beeb1c6b2a629b85 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:59 p.m.