Triple
T9764870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringgold County |
E236759
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Mount Ayr |
E221517
|
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: Mount Ayr | Statement: [Ringgold County, hasCity, Mount Ayr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Ayr Context triple: [Ringgold County, hasCity, Mount Ayr]
-
A.
Mount Ayr, Iowa
chosen
Mount Ayr, Iowa is a small rural city that serves as the county seat of Ringgold County in southwestern Iowa.
-
B.
Owasso
Owasso is a rapidly growing suburban city in northeastern Oklahoma, located just north of Tulsa in the region known as Green Country.
-
C.
Marshalltown
Marshalltown is a city in central Iowa that serves as a regional hub for industry, commerce, and transportation.
-
D.
Iowa Falls
Iowa Falls is a small city in central Iowa known for its scenic location along the Iowa River and historic downtown.
-
E.
Waterloo, Iowa
Waterloo, Iowa is a mid-sized city in northeastern Iowa known as an industrial and commercial hub of the Cedar Valley region along the Cedar River.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda09ed54c8190a5879e14184cddf4 |
completed | April 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5a4a88c8190bac0a2bff02804dc |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:25 p.m.