Triple
T12845871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wapello County, Iowa |
E307173
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object | Ottumwa, Iowa |
E272276
|
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: Ottumwa, Iowa | Statement: [Wapello County, Iowa, countySeat, Ottumwa, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ottumwa, Iowa Context triple: [Wapello County, Iowa, countySeat, Ottumwa, Iowa]
-
A.
Ottumwa, Iowa
chosen
Ottumwa, Iowa is a small city in southeastern Iowa known as a regional hub on the Des Moines River with a mix of industrial, rail, and agricultural heritage.
-
B.
Washington, Iowa
Washington, Iowa is a small city in southeastern Iowa known for its historic downtown, agricultural surroundings, and role as a local commercial and cultural hub.
-
C.
Oskaloosa, Iowa
Oskaloosa, Iowa is a small city in southeastern Iowa known for its historic downtown, rich coal-mining heritage, and role as a regional commercial and cultural center.
-
D.
Marshalltown
Marshalltown is a city in central Iowa that serves as a regional hub for industry, commerce, and transportation.
-
E.
Marshalltown
Marshalltown is an inner-city commercial and business district located within Johannesburg’s central business area in South Africa.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff49efc8190bd6bbac510cc4705 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b96f72881909090691e99bb2425 |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 5:36 p.m.