Triple
T28246720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bannack, Montana |
E712186
|
entity |
| Predicate | distanceToDillon |
P201166
|
FINISHED |
| Object | approximately 25 miles southwest |
—
|
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: approximately 25 miles southwest | Statement: [Bannack, Montana, distanceToDillon, approximately 25 miles southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToDillon Context triple: [Bannack, Montana, distanceToDillon, approximately 25 miles southwest]
-
A.
distanceToFortCollins
Indicates the spatial distance between a given entity’s location and the city of Fort Collins.
-
B.
distanceFromDenver
Indicates the measured distance between a given location and Denver.
-
C.
distanceToGreeley
Indicates the measured distance between a given entity or location and Greeley.
-
D.
distanceToEnnis
Indicates the spatial distance between a given entity or location and the place named Ennis.
-
E.
distanceToAmarillo
Indicates the spatial distance between a given entity and the location Amarillo.
- 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ffcf46fd688190907fd1ceb499a8d1 |
completed | May 10, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69ffccde2a8c81908e055e74077dbd19 |
completed | May 10, 2026, 12:10 a.m. |
| PDg | Predicate description generation | batch_69ffcf4631cc8190aefa4b8f0b940b89 |
completed | May 10, 2026, 12:20 a.m. |
Created at: April 27, 2026, 11:02 p.m.