Triple
T12384999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mills County |
E295839
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Glenwood, Iowa |
E163745
|
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: Glenwood, Iowa | Statement: [Mills County, hasCommunity, Glenwood, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenwood, Iowa Context triple: [Mills County, hasCommunity, Glenwood, Iowa]
-
A.
Glenwood, Iowa
chosen
Glenwood, Iowa is a small city in southwestern Iowa that serves as the administrative and economic center of Mills County.
-
B.
Mount Pleasant, Iowa
Mount Pleasant, Iowa is a small city in southeastern Iowa known as the county seat of Henry County and home to Iowa Wesleyan University and the annual Midwest Old Threshers Reunion.
-
C.
Lowden, Iowa
Lowden, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
-
D.
Shenandoah, Iowa
Shenandoah, Iowa is a small city in southwestern Iowa known historically as a regional agricultural and broadcasting center.
-
E.
Stanwood, Iowa
Stanwood, Iowa is a small rural city located in eastern Iowa within Cedar 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ef7fabc819090837c11c4c34651 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:54 p.m.