Triple
T1174512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miller’s Hollow |
E24987
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Kanesville |
E3838
|
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: Kanesville | Statement: [Miller’s Hollow, followedBy, Kanesville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanesville Context triple: [Miller’s Hollow, followedBy, Kanesville]
-
A.
Kanesville
chosen
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
B.
Juneautown
Juneautown was one of the original 19th-century settlements that later became part of the city of Milwaukee, Wisconsin.
-
C.
Parkville
Parkville is a suburban community in Maryland, United States, located just northeast of Baltimore City.
-
D.
Youngsville
Youngsville is a small town in Franklin County, North Carolina, located just north of the Raleigh–Durham metropolitan area.
-
E.
Kingsburg
Kingsburg is a small, historically Swedish-themed city in California’s San Joaquin Valley known for its agricultural community and distinctive Scandinavian 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcee38c881909c2fc73ba35f7253 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93b6343c8190af6e28ccdaab6562 |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:45 p.m.