Triple
T5966321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Hills |
E132760
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Custer |
E538395
|
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: Custer | Statement: [Black Hills, hasCity, Custer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Custer Context triple: [Black Hills, hasCity, Custer]
-
A.
Custer
chosen
Custer is a surname most famously associated with George Armstrong Custer, the U.S. Army officer and cavalry commander who died at the Battle of the Little Bighorn.
-
B.
Red Cloud
Red Cloud was a prominent Oglala Lakota (Sioux) war leader and statesman best known for successfully leading resistance against U.S. military expansion during Red Cloud’s War in the late 1860s.
-
C.
Crazy Horse
Crazy Horse was a renowned Oglala Lakota war leader known for his role in resisting U.S. expansion, including his leadership at the Battle of the Little Bighorn.
-
D.
Crazy Horse
Crazy Horse is an American rock band best known as Neil Young’s longtime, hard-edged backing group on many of his most acclaimed albums and tours.
-
E.
Crazy Horse
Crazy Horse is a famous Parisian cabaret known for its avant-garde, artistically choreographed nude performances and distinctive use of lighting and staging.
- 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.