Triple
T12688676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Dakota Coyotes |
E303143
|
entity |
| Predicate | homeCity |
P263
|
FINISHED |
| Object | Vermillion |
E998029
|
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: Vermillion | Statement: [South Dakota Coyotes, homeCity, Vermillion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vermillion Context triple: [South Dakota Coyotes, homeCity, Vermillion]
-
A.
Vermillion
chosen
Vermillion is a small city in southeastern South Dakota best known as the home of the University of South Dakota and its athletic teams, the South Dakota Coyotes.
-
B.
L’Orange
L’Orange is a notable painting by Belgian artist Henri Evenepoel, recognized for its vivid color and modern, intimate portrayal characteristic of late 19th-century art.
-
C.
Guiteau
Guiteau is the surname of Charles J. Guiteau, the American lawyer and assassin who killed U.S. President James A. Garfield in 1881.
-
D.
Brandy Green
Brandy Green is known as the daughter of American politician Gene Green, who represented Texas in the U.S. House of Representatives.
-
E.
Redondo
Redondo is a municipality and town in Portugal’s Alentejo region, known for its wine production, traditional pottery, and well-preserved historic architecture.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d8cb048190864a85dd75648820 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c7a79908190b83a868090990bbe |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:21 p.m.