Triple
T21600606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelbina, Missouri |
E533027
|
entity |
| Predicate | locatedBetween |
P1262
|
FINISHED |
| Object | Moberly, 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: Moberly, Missouri | Statement: [Shelbina, Missouri, locatedBetween, Moberly, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moberly, Missouri Context triple: [Shelbina, Missouri, locatedBetween, Moberly, Missouri]
-
A.
Moberly, Missouri
chosen
Moberly, Missouri is a small city in north-central Missouri known historically as a regional railroad hub and commercial center.
-
B.
Moody, Missouri
Moody, Missouri is a small unincorporated rural community located in southern Missouri near the Arkansas border.
-
C.
Missouri City, Missouri
Missouri City, Missouri is a small suburban community in Clay County that forms part of the greater Kansas City metropolitan area.
-
D.
Neosho, Missouri
Neosho, Missouri is a small city in southwestern Missouri known for its historic downtown, natural springs, and role as the county seat of Newton County.
-
E.
Richmond, Missouri
Richmond, Missouri is a small city in western Missouri known for its agricultural surroundings and role as a local commercial and governmental center.
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e12fdc8190ab6125ea8d294717 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:32 p.m.