Triple
T18752746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midland University |
E458568
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Fremont, Nebraska |
—
|
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: Fremont, Nebraska | Statement: [Midland University, locatedIn, Fremont, Nebraska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fremont, Nebraska Context triple: [Midland University, locatedIn, Fremont, Nebraska]
-
A.
Fremont, Nebraska
chosen
Fremont, Nebraska is a small city in eastern Nebraska known for its agricultural roots, manufacturing industries, and proximity to the Omaha metropolitan area.
-
B.
Rockford, Nebraska
Rockford, Nebraska is a small rural village located in Gage County in the southeastern part of the state.
-
C.
Gresham, Nebraska
Gresham, Nebraska is a small rural village located in York County in the U.S. state of Nebraska.
-
D.
O’Neill, Nebraska
O’Neill, Nebraska is a small city in north-central Nebraska known as the “Irish Capital of Nebraska” and serves as a regional agricultural and transportation hub.
-
E.
Columbus, Nebraska
Columbus, Nebraska is a small city in eastern Nebraska known as a regional hub for manufacturing, agriculture, and transportation along the Loup River.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579ee4194819089661132f9f0f849 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.