Triple
T3093342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapid City, South Dakota |
E64533
|
entity |
| Predicate | distanceToMountRushmore |
P45869
|
FINISHED |
| Object | approximately 25 miles |
—
|
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 | Statement: [Rapid City, South Dakota, distanceToMountRushmore, approximately 25 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMountRushmore Context triple: [Rapid City, South Dakota, distanceToMountRushmore, approximately 25 miles]
-
A.
distanceToWashingtonMonument
Indicates the physical distance between a given entity’s location and the Washington Monument.
-
B.
distanceToGreatSmokyMountainsNationalPark
Indicates the spatial distance between an entity and Great Smoky Mountains National Park.
-
C.
distanceToWashingtonDC
Indicates the physical distance between a given location and Washington, D.C.
-
D.
distanceToSaintPaul
Indicates the measured spatial distance between a given entity and the location of Saint Paul.
-
E.
distanceFromMina
Indicates the spatial distance measured between Mina and another specified entity or location.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23876a4819095bfc28640d8c200 |
completed | March 8, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
| PDg | Predicate description generation | batch_69ada0f6fef48190b13898be383a246b |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:03 p.m.