Triple
T23537308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ha Ha Tonka State Park |
E577633
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Camdenton, Missouri |
—
|
NE NERFINISHED |
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: Camdenton, Missouri | Statement: [Ha Ha Tonka State Park, locatedNear, Camdenton, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camdenton, Missouri Context triple: [Ha Ha Tonka State Park, locatedNear, Camdenton, Missouri]
-
A.
Camdenton, Missouri
chosen
Camdenton, Missouri is a small city in central Missouri known as a gateway community to the Lake of the Ozarks resort area.
-
B.
Camden, Missouri
Camden, Missouri is an unincorporated community located in Ray County in the U.S. state of Missouri.
-
C.
Trenton, Missouri
Trenton, Missouri is a small city in Grundy County that serves as a regional hub for agriculture and local commerce in northwestern Missouri.
-
D.
Cameron, Missouri
Cameron, Missouri is a small city in the U.S. state of Missouri known for its location at the junction of major highways and its role as a regional service and prison hub.
-
E.
Canton, Missouri
Canton, Missouri is a small city in northeastern Missouri along the Mississippi River, known for being home to Culver-Stockton College.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1831688190ac06b84729bce160 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.