Triple
T33221148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Branch, Minnesota |
E850423
|
entity |
| Predicate | distanceToStPaul |
P27980
|
FINISHED |
| Object | approximately 45 miles north |
—
|
LITERAL 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: approximately 45 miles north | Statement: [North Branch, Minnesota, distanceToStPaul, approximately 45 miles north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToStPaul Context triple: [North Branch, Minnesota, distanceToStPaul, approximately 45 miles north]
-
A.
distanceToSaintPaul
chosen
Indicates the measured spatial distance between a given entity and the location of Saint Paul.
-
B.
distanceToMinneapolis
Indicates the measured distance between a given entity’s location and the city of Minneapolis.
-
C.
distanceToWinnipeg
Indicates the spatial distance between a given entity’s location and the city of Winnipeg.
-
D.
distanceToStLouis
Indicates the measured distance between a given entity’s location and the city of St. Louis.
-
E.
distanceFromDesMoines
Indicates the physical distance between a given location and the city of Des Moines.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:30 a.m.