Triple
T23398322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elba, Nebraska |
E559424
|
entity |
| Predicate | countrySubdivision |
P766
|
FINISHED |
| Object | Nebraska |
—
|
NE NERFINISHED |
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: [Elba, Nebraska, countrySubdivision, Nebraska]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nebraska Context triple: [Elba, Nebraska, countrySubdivision, Nebraska]
-
A.
Nebraska
chosen
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
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.
Virginia, Nebraska
Virginia, Nebraska is a small rural village located in Gage County in the southeastern part of the state.
-
E.
South Dakota
South Dakota is a largely rural U.S. state known for the Black Hills, Mount Rushmore, and its Native American heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4ddcb9481909881c77458c59c83 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.