Triple
T6239160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake of the Ozarks |
E139554
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Versailles, Missouri |
E558988
|
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: Versailles, Missouri | Statement: [Lake of the Ozarks, nearbyCity, Versailles, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Versailles, Missouri Context triple: [Lake of the Ozarks, nearbyCity, Versailles, Missouri]
-
A.
Versailles, Missouri
chosen
Versailles, Missouri is a small city in Morgan County that serves as a local hub for the surrounding rural region of central Missouri.
-
B.
Paris, Missouri
Paris, Missouri is a small rural city that serves as the county seat of Monroe County in northeastern Missouri, United States.
-
C.
Napoleon, Missouri
Napoleon, Missouri is a small town situated along the Missouri River in Lafayette County in the U.S. state of Missouri.
-
D.
Washington, Missouri
Washington, Missouri is a small city in eastern Missouri along the Missouri River, known for its historic downtown, German heritage, and role as a regional hub in the state's wine country.
-
E.
Metz, Missouri
Metz, Missouri is a small rural village located in western Missouri within Vernon County.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063048df081909a13d16b6f6bf65d |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c603ea4b64819098abfe83fc5003aa |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:23 p.m.