Triple
T25304512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Minnesota Law School |
E634444
|
entity |
| Predicate | namedBuildingAfter |
P63
|
FINISHED |
| Object | Walter F. Mondale |
—
|
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: Walter F. Mondale | Statement: [University of Minnesota Law School, namedBuildingAfter, Walter F. Mondale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedBuildingAfter Context triple: [University of Minnesota Law School, namedBuildingAfter, Walter F. Mondale]
-
A.
buildingNamed
Indicates that a particular building is known or referred to by a specified name.
-
B.
namedAfter
chosen
Indicates that one entity has been given its name in honor of, or derived from, another entity.
-
C.
eraOfManyBuildings
Indicates a time period during which many buildings were constructed or existed.
-
D.
originalBuildingName
Indicates that a building’s referenced name is its original or historically first assigned name, as opposed to any later or alternate names.
-
E.
publicBuilding
Indicates that a building is designated for public use or access, typically serving communal, governmental, or civic functions.
- F. None of above.
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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f49399bf3881908b36a2b009be4f87 |
completed | May 1, 2026, 11:50 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 1:25 p.m.