Triple
T8254411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dahlonega |
E193034
|
entity |
| Predicate | distanceFromAtlanta |
P43882
|
FINISHED |
| Object | approximately 65 miles north |
—
|
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 65 miles north | Statement: [Dahlonega, distanceFromAtlanta, approximately 65 miles north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAtlanta Context triple: [Dahlonega, distanceFromAtlanta, approximately 65 miles north]
-
A.
distanceToAtlanta
chosen
Indicates the measured or calculated distance between a given location and the city of Atlanta.
-
B.
distanceToMontgomery
Indicates the spatial distance between a given entity and the location identified as Montgomery.
-
C.
distanceToColumbusGeorgiaApprox
Indicates an approximate physical distance between a given location and Columbus, Georgia.
-
D.
distanceFromDallas
Indicates the measured distance between a given place or entity and the city of Dallas.
-
E.
distanceToCharlotte
Indicates the measured or estimated distance between a given entity and the location Charlotte.
- 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_69ca82dfad9c8190b8cd18fb89f50f40 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78f8eccc8190b43204bf2f8defc1 |
completed | March 31, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69cb36b6d5548190b665a6cce14c69f7 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:48 p.m.