Triple
T15683536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beloit College |
E377637
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Beloit |
E1055424
|
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: Beloit | Statement: [Beloit College, city, Beloit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beloit Context triple: [Beloit College, city, Beloit]
-
A.
Beloit, Wisconsin
chosen
Beloit, Wisconsin is a small industrial and college city in southern Wisconsin near the Illinois border, known for Beloit College and its historic downtown.
-
B.
Kenosha
Kenosha is a mid-sized city in southeastern Wisconsin located on the shore of Lake Michigan between Milwaukee and Chicago.
-
C.
Stevens Point
Stevens Point is a small city in central Wisconsin known for its university, historic downtown, and access to outdoor recreation along the Wisconsin River.
-
D.
Peoria
Peoria is a suburban city in the Phoenix metropolitan area of central Arizona, known for its rapid growth, residential communities, and recreational amenities.
-
E.
Peoria
The Peoria are a Native American people originally from the Illinois River valley and part of the Illinois (Illiniwek) Confederation.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f31b5b881908e46ecd9fc6048ab |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff997e13e4819080a39f59172ab99c |
completed | May 9, 2026, 8:30 p.m. |
Created at: April 10, 2026, 4:17 a.m.