Triple
T22341897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Methodist University |
E552294
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Fayette, 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: Fayette, Missouri | Statement: [Central Methodist University, locatedIn, Fayette, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fayette, Missouri Context triple: [Central Methodist University, locatedIn, Fayette, Missouri]
-
A.
Fayette, Missouri
chosen
Fayette, Missouri is a small historic city that serves as the county seat of Howard County in central Missouri.
-
B.
Fairfax, Missouri
Fairfax, Missouri is a small rural city located in Atchison County in the northwest region of the U.S. state of Missouri.
-
C.
Forsyth, Missouri
Forsyth, Missouri is a small city in southwestern Missouri that serves as the county seat of Taney County near the Ozark Mountains.
-
D.
Festus, Missouri
Festus, Missouri is a small city in Jefferson County that forms part of the greater St. Louis metropolitan area.
-
E.
Freeman, Missouri
Freeman, Missouri is a small rural city located in Cass County in western Missouri, United States.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15794fae48190a2b79e9ae4b57bb1 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.