Triple
T1385839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelby County, Iowa |
E29841
|
entity |
| Predicate | hasCountySeatFunction |
P13896
|
FINISHED |
| Object | Harlan, Iowa |
E146302
|
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: Harlan, Iowa | Statement: [Shelby County, Iowa, hasCountySeatFunction, Harlan, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harlan, Iowa Context triple: [Shelby County, Iowa, hasCountySeatFunction, Harlan, Iowa]
-
A.
Harlan, Iowa
chosen
Harlan, Iowa is a small city in western Iowa that serves as the county seat of Shelby County and a local hub for the surrounding rural communities.
-
B.
Hancock, Iowa
Hancock, Iowa is a small rural city located in western Iowa within Pottawattamie County.
-
C.
Harvey, Iowa
Harvey, Iowa is a small rural city located in Marion County in the south-central part of the state.
-
D.
Clarence, Iowa
Clarence, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
-
E.
Hartley, Iowa
Hartley, Iowa is a small rural city in northwestern Iowa known for its agricultural community and local small-town character.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c339f3d481909c04b14129899945 |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad36fb2c348190860129f84ca59cc3 |
completed | March 8, 2026, 8:44 a.m. |
Created at: March 1, 2026, 7:59 p.m.