Triple
T19443627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schlitz (river) |
E486414
|
entity |
| Predicate | hasNameOrigin |
P3325
|
FINISHED |
| Object | Schlitz (town) |
E1377300
|
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: Schlitz (town) | Statement: [Schlitz (river), hasNameOrigin, Schlitz (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schlitz (town) Context triple: [Schlitz (river), hasNameOrigin, Schlitz (town)]
-
A.
Schlitz (town)
chosen
Schlitz is a small historic town in the state of Hesse, Germany, known for its medieval architecture and picturesque setting in the Vogelsberg region.
-
B.
Cloquet
Cloquet is a small city in northeastern Minnesota known for its paper mill industry and proximity to Duluth.
-
C.
Slinger, Wisconsin
Slinger, Wisconsin is a small village in southeastern Wisconsin known for its close-knit community and proximity to the Milwaukee metropolitan area.
-
D.
Steuben, Wisconsin
Steuben, Wisconsin is a small rural village in Crawford County situated in the scenic Kickapoo River valley of southwestern Wisconsin.
-
E.
Thiensville, Wisconsin
Thiensville, Wisconsin is a small village in Ozaukee County that forms part of the Milwaukee metropolitan area and is known for its historic downtown and riverside setting.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63387e2048190bfb13fea434ddb46 |
completed | April 20, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074047fcbc81908c969f0690300b57 |
completed | May 15, 2026, 3:48 p.m. |
Created at: April 10, 2026, 1:38 p.m.