Triple
T4659359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa Ordnance Plant |
E102488
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Burlington, Iowa |
E276109
|
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: Burlington, Iowa | Statement: [Iowa Ordnance Plant, near, Burlington, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burlington, Iowa Context triple: [Iowa Ordnance Plant, near, Burlington, Iowa]
-
A.
Burlington, Iowa
chosen
Burlington, Iowa is a Mississippi River city in southeastern Iowa known for its historic downtown, riverfront, and the famously steep Snake Alley.
-
B.
Hartford, Iowa
Hartford, Iowa is a small city in south-central Iowa that forms part of the Des Moines metropolitan area.
-
C.
Williamsburg, Iowa
Williamsburg, Iowa is a small city in eastern Iowa known for its rural community character and proximity to the Tanger Outlet Center shopping area.
-
D.
Montpelier, Iowa
Montpelier, Iowa is a small unincorporated community located along the Mississippi River in eastern Iowa.
-
E.
Brighton, Iowa
Brighton, Iowa is a small rural city located in southeastern Iowa within Washington County.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6328387c81909a500e694a739e6e |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be037c67108190bdae034832dc7b41 |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:15 p.m.