Triple
T10255705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veneta, Oregon |
E240458
|
entity |
| Predicate | isBedroomCommunity |
P26182
|
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: [Veneta, Oregon, isBedroomCommunity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBedroomCommunity Context triple: [Veneta, Oregon, isBedroomCommunity, true]
-
A.
isBedroomCommunityFor
chosen
Indicates that one locality primarily serves as a residential area whose inhabitants commute to another locality for work or major daily activities.
-
B.
isPlannedCommunity
Indicates that a community has been intentionally designed and developed according to a coordinated plan rather than growing organically.
-
C.
isCommunityOf
Indicates that one entity functions as a community composed of, or defined by, the members or elements represented by the other entity.
-
D.
hasNeighbourhood
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
E.
isIndustrialCommunity
Indicates that a community is primarily characterized by industrial activities, such as manufacturing, production, or related industrial operations.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b5853081909cd0397e08a0f44d |
completed | April 7, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69d4d1edae6881909a65201b8e51ea0a |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:30 a.m.