Triple
T7744779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mineral, Virginia |
E175598
|
entity |
| Predicate | distanceToRichmond |
P78468
|
FINISHED |
| Object | approximately 60 miles northwest |
—
|
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 60 miles northwest | Statement: [Mineral, Virginia, distanceToRichmond, approximately 60 miles northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToRichmond Context triple: [Mineral, Virginia, distanceToRichmond, approximately 60 miles northwest]
-
A.
distanceToNorfolkVirginia
Indicates the spatial distance between a given entity or location and Norfolk, Virginia.
-
B.
distanceToWinstonSalem
Indicates the spatial distance between a given entity’s location and the city of Winston-Salem.
-
C.
distanceFromJamestown
Indicates the measured distance between a given location and Jamestown.
-
D.
distanceToWashingtonDC
Indicates the physical distance between a given location and Washington, D.C.
-
E.
distanceToRaleighApproxMiles
Indicates the approximate distance, measured in miles, between a given place and Raleigh.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016c4a748190a7012030edaefcee |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7040091608190a9e46ecfb2ff0bca |
completed | March 27, 2026, 10:26 p.m. |
Created at: March 27, 2026, 4:07 p.m.