Triple
T22503166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wright Flyer III |
E556325
|
entity |
| Predicate | locationOfFirstFlight |
P14378
|
FINISHED |
| Object | Huffman Prairie |
—
|
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: Huffman Prairie | Statement: [Wright Flyer III, locationOfFirstFlight, Huffman Prairie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huffman Prairie Context triple: [Wright Flyer III, locationOfFirstFlight, Huffman Prairie]
-
A.
Huffman Prairie
chosen
Huffman Prairie is a historic grassland near Dayton, Ohio, where the Wright brothers developed and tested some of the world’s first practical airplanes.
-
B.
Lancaster Prairie
Lancaster Prairie is a geographic region in northern Texas that encompasses the area around the city of Lancaster.
-
C.
Rathdrum Prairie
Rathdrum Prairie is a broad, glacially formed plain in northern Idaho known for its fertile farmland and role as a key aquifer recharge area.
-
D.
Sumas Prairie
Sumas Prairie is a low-lying agricultural region in British Columbia, Canada, known for its fertile farmland and vulnerability to flooding.
-
E.
Prairie Meadows
Prairie Meadows is a combined horse racing track and casino entertainment complex located in Altoona, Iowa.
- 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5a01888190ba65a05616b63cbe |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.