Triple
T5889142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Missouri |
E130943
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Moberly, Missouri |
E446016
|
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: Moberly, Missouri | Statement: [Central Missouri, hasCity, Moberly, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moberly, Missouri Context triple: [Central Missouri, hasCity, 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.
Missouri City, Missouri
Missouri City, Missouri is a small suburban community in Clay County that forms part of the greater Kansas City metropolitan area.
-
C.
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.
-
D.
Columbia, Missouri
Columbia, Missouri is a mid-sized city in central Missouri best known as a vibrant college town home to the University of Missouri.
-
E.
Butler, Missouri
Butler, Missouri is a small city that serves as the county seat of Bates County in western Missouri, known historically as the "Electric City" for being one of the first in the region to have electric power.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036b0993081908c239dd2901e6bbe |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6409a1b588190a963b0f6944ba22c |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 3:58 p.m.