Triple
T33221121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Branch, Minnesota |
E850423
|
entity |
| Predicate | hasSuburbanDevelopment |
P22501
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [North Branch, Minnesota, hasSuburbanDevelopment, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuburbanDevelopment Context triple: [North Branch, Minnesota, hasSuburbanDevelopment, true]
-
A.
hasSuburbanAreas
Indicates that a place includes or is associated with surrounding residential suburban districts or neighborhoods.
-
B.
hasSuburbanGrowth
chosen
Indicates that an area or entity is experiencing or characterized by expansion or development typical of suburban environments.
-
C.
hasSuburbanSection
Indicates that a larger route, line, or area includes a portion that passes through or serves a suburban region.
-
D.
hasSuburbanZone
Indicates that an entity includes or is associated with a suburban area within its spatial or administrative extent.
-
E.
hasSuburbanMunicipality
Indicates that one administrative region includes or is associated with a municipality located in a suburban area.
- 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_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
Created at: May 1, 2026, 1:30 a.m.