Triple
T10964947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KDEN |
E259070
|
entity |
| Predicate | distanceFromDowntownDenverMiles |
P1299
|
FINISHED |
| Object | about 25 |
—
|
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: about 25 | Statement: [KDEN, distanceFromDowntownDenverMiles, about 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromDowntownDenverMiles Context triple: [KDEN, distanceFromDowntownDenverMiles, about 25]
-
A.
distanceFromDenver
Indicates the measured distance between a given location and Denver.
-
B.
distanceFromDowntown
chosen
Indicates the physical distance between a given location and the central downtown area.
-
C.
distanceToFortCollins
Indicates the spatial distance between a given entity’s location and the city of Fort Collins.
-
D.
distanceFromSaltLakeCity
Indicates the measured distance between a given location and Salt Lake City.
-
E.
distanceToGreeley
Indicates the measured distance between a given entity or location and Greeley.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77148c4588190ad0f2b54ee4bab98 |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e8c27cc81908050590b7a04cafd |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:24 p.m.