Triple
T21008028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brady, Nebraska |
E517464
|
entity |
| Predicate | roadsideCharacteristic |
P28518
|
FINISHED |
| Object | community visible from Interstate 80 |
—
|
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: community visible from Interstate 80 | Statement: [Brady, Nebraska, roadsideCharacteristic, community visible from Interstate 80]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadsideCharacteristic Context triple: [Brady, Nebraska, roadsideCharacteristic, community visible from Interstate 80]
-
A.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
B.
roadSide
chosen
Indicates that one entity is located along, beside, or immediately adjacent to a road.
-
C.
hasRoadCharacteristics
Indicates that one entity possesses specific road-related features or attributes, such as type, condition, or structural properties.
-
D.
hasRoadsideFacility
Indicates that a location or route segment is associated with a facility or service situated along its roadside.
-
E.
roadEnvironment
Indicates that the relationship or action occurs within, is influenced by, or is specifically associated with a road or roadway environment.
- 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_69e0b50192308190a284fcc89dd23a49 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc3dcb5081909b06d6db10fefba6 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:53 p.m.