Triple
T7862755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emerson, Iowa |
E182538
|
entity |
| Predicate | subdivisionName |
P747
|
FINISHED |
| Object | Mills County |
E295839
|
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: Mills County | Statement: [Emerson, Iowa, subdivisionName, Mills County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mills County Context triple: [Emerson, Iowa, subdivisionName, Mills County]
-
A.
Mills County
chosen
Mills County is a rural county in the southwestern part of the U.S. state of Iowa, known for its agricultural landscape and small communities.
-
B.
Sherman County
Sherman County is a sparsely populated rural county in the far northern part of the Texas Panhandle, known for its agriculture and wide-open High Plains landscape.
-
C.
Mayes County
Mayes County is a county in northeastern Oklahoma known for its mix of small towns, agricultural areas, and recreational lakes.
-
D.
Pulaski County
Pulaski County is a rural county in central Georgia known for its agricultural landscape and the city of Hawkinsville as its county seat.
-
E.
Latah County
Latah County is a county in north-central Idaho known for its agricultural landscape and as home to the University of Idaho in the city of Moscow.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36be5f408190b82a097b0825c57a |
completed | March 31, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccec5f00b48190b35f7cab67e7e5f9 |
completed | April 1, 2026, 9:58 a.m. |
Created at: March 30, 2026, 4:53 p.m.