Triple
T10128534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herington, Kansas |
E226275
|
entity |
| Predicate | roadNetworkImportance |
P19386
|
FINISHED |
| Object | local highway junction |
—
|
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: local highway junction | Statement: [Herington, Kansas, roadNetworkImportance, local highway junction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadNetworkImportance Context triple: [Herington, Kansas, roadNetworkImportance, local highway junction]
-
A.
roadImportance
chosen
Indicates the relative significance or priority of a road within a transportation network, such as its role in connectivity, traffic flow, or access.
-
B.
routeImportance
Indicates the relative significance or priority of a route compared to other possible routes, typically in terms of usefulness, relevance, or preference.
-
C.
roadNetworkHubOf
Indicates that one location functions as a central node or hub within the road network relative to another location or area.
-
D.
roadNetworkPartOf
Indicates that one road network segment or component is a constituent part of a larger road network.
-
E.
streetNetwork
Indicates the layout and connectivity relationships among streets within a geographic area, including how roads intersect, link, and form a navigable network.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2f0a0e881909267a83fbeb31f0c |
completed | April 2, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:05 p.m.