Triple
T22639267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 83 |
E558775
|
entity |
| Predicate | terminusBLocation |
P149030
|
FINISHED |
| Object | Canadian border near Westhope, North Dakota |
—
|
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: Canadian border near Westhope, North Dakota | Statement: [U.S. Route 83, terminusBLocation, Canadian border near Westhope, North Dakota]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminusBLocation Context triple: [U.S. Route 83, terminusBLocation, Canadian border near Westhope, North Dakota]
-
A.
terminusAdjacentTo
Indicates that one terminus (end point) of a route, line, or feature is directly next to or immediately bordering another terminus.
-
B.
terminusBorough
Indicates the borough in which the endpoint or terminus of something (such as a route or line) is located.
-
C.
locatedAtTerminusOf
Indicates that one entity is situated at the end point or final terminus of another entity, such as a route, line, or path.
-
D.
terminusEast
Indicates that one entity serves as the eastern endpoint or final stop of another entity, such as a route, line, or path.
-
E.
terminusSouthNear
Indicates that the southern end or terminus of one entity is located close to another entity.
- F. None of above. chosen
Provenance (4 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17010aa4c8190a9f0cf7eb4c066cd |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:04 p.m.