Triple
T32598893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnesota State Highway 252 |
E833308
|
entity |
| Predicate | connectsLocalTrafficTo |
P845
|
FINISHED |
| Object | major regional freeways |
—
|
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: major regional freeways | Statement: [Minnesota State Highway 252, connectsLocalTrafficTo, major regional freeways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsLocalTrafficTo Context triple: [Minnesota State Highway 252, connectsLocalTrafficTo, major regional freeways]
-
A.
connectsPortToHinterland
Indicates that a port serves as a transport or logistical link to its surrounding inland (hinterland) region.
-
B.
connectsPortToNetwork
Indicates that a specific port is linked or associated with a particular network.
-
C.
connectsNeighborhoodsIn
Indicates a relationship where something (such as a route, road, or service) links or provides direct access between two or more neighborhoods.
-
D.
connectsTo
chosen
Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
-
E.
connectsCentralAreaTo
Indicates a relationship where one element serves as a link or pathway between a central area and another location or component.
- 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_69f3492ab63c8190aec24d5003b47c29 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fee335cb08819097e3a0e09d5ebf49 |
completed | May 9, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69fee2c74fd88190acfc045ab07b7f6b |
completed | May 9, 2026, 7:31 a.m. |
Created at: May 1, 2026, 1:05 a.m.