Triple
T5966320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Hills |
E132760
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Rapid City |
E342170
|
NE 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: Rapid City | Statement: [Black Hills, hasCity, Rapid City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rapid City Context triple: [Black Hills, hasCity, Rapid City]
-
A.
Rapid City
chosen
Rapid City is a city in western South Dakota known as a gateway to the Black Hills and nearby Mount Rushmore.
-
B.
Sioux Falls, South Dakota
Sioux Falls, South Dakota is the largest city in the state, known for its namesake waterfalls on the Big Sioux River and its role as a regional economic and cultural hub.
-
C.
Billings
Billings is a small rural municipality located on Manitoulin Island in Ontario, Canada.
-
D.
Billings
Billings is the largest city in the U.S. state of Montana and a major economic and cultural hub for the surrounding Mountain States region.
-
E.
Billings
Billings is the middle name of Henry Billings Brown, an American jurist who served as an Associate Justice of the U.S. Supreme Court in the late 19th and early 20th centuries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a3e06848190b1d1a191db257a07 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3f917c881909c4f780937c5fa7b |
completed | March 23, 2026, 6:55 a.m. |
Created at: March 22, 2026, 4:03 p.m.