Triple
T1920698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The River |
E40117
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Nebraska |
E96037
|
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: Nebraska | Statement: [The River, followedBy, Nebraska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nebraska Context triple: [The River, followedBy, Nebraska]
-
A.
Nebraska
Nebraska is a landlocked U.S. state on the Great Plains known for its agriculture, prairies, and role as a historic crossroads for westward expansion.
-
B.
Nebraska
chosen
Nebraska is a stark, acoustic 1982 album by Bruce Springsteen known for its dark, narrative-driven songs about American working-class life and crime.
-
C.
Nebraska
Nebraska is a 2013 black-and-white American road comedy-drama film directed by Alexander Payne that follows an aging man's quixotic journey to claim a supposed sweepstakes prize.
-
D.
South Dakota
South Dakota is a largely rural U.S. state known for the Black Hills, Mount Rushmore, and its Native American heritage.
-
E.
Iowa
Iowa is a Midwestern U.S. state known for its extensive agriculture, especially corn and soybean production, and its role in national politics through the Iowa caucuses.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af173cc94c8190a351334e7645cc0c |
completed | March 9, 2026, 6:53 p.m. |
Created at: March 4, 2026, 7:35 p.m.