Triple
T11523636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barton County |
E273230
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Lamar, Missouri |
E295816
|
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: Lamar, Missouri | Statement: [Barton County, hasCity, Lamar, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamar, Missouri Context triple: [Barton County, hasCity, Lamar, Missouri]
-
A.
Lamar, Missouri
chosen
Lamar, Missouri is a small city in southwestern Missouri best known as the birthplace of U.S. President Harry S. Truman.
-
B.
Lemay, Missouri
Lemay, Missouri is an unincorporated suburban community in south St. Louis County known for its proximity to the historic Jefferson Barracks military post and the Mississippi River.
-
C.
Lancaster, Missouri
Lancaster, Missouri is a small rural city that serves as the county seat of Schuyler County in northeastern Missouri.
-
D.
New London, Missouri
New London, Missouri is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
-
E.
Marceline, Missouri
Marceline, Missouri is a small Midwestern town best known as Walt Disney’s boyhood hometown and a key inspiration for the nostalgic Main Street settings in Disney theme parks.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e7137a09608190801af2125e2e8095 |
completed | April 21, 2026, 6:04 a.m. |
Created at: April 8, 2026, 9:37 p.m.