Triple
T15685853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chariton County Courthouse |
E380197
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Keytesville |
E1171680
|
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: Keytesville | Statement: [Chariton County Courthouse, city, Keytesville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keytesville Context triple: [Chariton County Courthouse, city, Keytesville]
-
A.
Keytesville
chosen
Keytesville is a small town in Missouri that serves as the county seat of Chariton County and reflects a rural Midwestern community character.
-
B.
Stewarttown
Stewarttown is a small community located within the town of Halton Hills in Ontario, Canada.
-
C.
Yatesville
Yatesville is a small town located in the U.S. state of Georgia.
-
D.
McKownville
McKownville is a hamlet and suburban community within the town of Guilderland in Albany County, New York, known for its proximity to the city of Albany and the University at Albany campus.
-
E.
Petersville
Petersville is a small, remote community in Alaska known as a gateway to outdoor recreation and backcountry areas within the Matanuska-Susitna Borough.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f4b73d881908ec0f21393a01969 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756ffcc88190a72440c7b40711ff |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.