Triple
T2045048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poweshiek County, Iowa |
E45431
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Montezuma, Iowa |
E233337
|
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: Montezuma, Iowa | Statement: [Poweshiek County, Iowa, containsSettlement, Montezuma, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montezuma, Iowa Context triple: [Poweshiek County, Iowa, containsSettlement, Montezuma, Iowa]
-
A.
Montezuma, Iowa
chosen
Montezuma, Iowa is a small city in central Iowa known as the administrative and civic hub of Poweshiek County.
-
B.
Mineola, Iowa
Mineola, Iowa is a small unincorporated rural community located in southwestern Iowa.
-
C.
Massena, Iowa
Massena, Iowa is a small rural city located in Cass County in southwestern Iowa, known for its agricultural surroundings and close-knit community.
-
D.
Lowden, Iowa
Lowden, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
-
E.
Shenandoah, Iowa
Shenandoah, Iowa is a small city in southwestern Iowa known historically as a regional agricultural and broadcasting center.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9728f688190939d7c4df524f9b4 |
completed | March 7, 2026, 5:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5181998c819098dd5a7fd3c5757c |
completed | March 9, 2026, 4:50 a.m. |
Created at: March 4, 2026, 7:39 p.m.