Triple
T8750809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Iowa |
E207951
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Shenandoah, Iowa |
E211153
|
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: Shenandoah, Iowa | Statement: [Central Iowa, hasCity, Shenandoah, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shenandoah, Iowa Context triple: [Central Iowa, hasCity, Shenandoah, Iowa]
-
A.
Shenandoah, Iowa
chosen
Shenandoah, Iowa is a small city in southwestern Iowa known historically as a regional agricultural and broadcasting center.
-
B.
Hudson, Iowa
Hudson, Iowa is a small city in northeastern Iowa that functions as a suburban community within the Waterloo–Cedar Falls metropolitan area.
-
C.
Lowden, Iowa
Lowden, Iowa is a small rural city in eastern Iowa known for its agricultural surroundings and tight-knit community.
-
D.
Osceola, Iowa
Osceola, Iowa is a small city in south-central Iowa that serves as the county seat of Clarke County and a regional hub for transportation and local commerce.
-
E.
Pocahontas, Iowa
Pocahontas, Iowa is a small city in northwestern Iowa that serves as the county seat of Pocahontas County and a local agricultural and transportation hub.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da774f4819099e5bfd12973d946 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc1b953448190bac2c222fcc722bb |
completed | April 3, 2026, 1:33 p.m. |
Created at: March 30, 2026, 6:39 p.m.