Triple
T604962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas City metropolitan area |
E11574
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Raymore, Missouri |
E39880
|
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: Raymore, Missouri | Statement: [Kansas City metropolitan area, hasPart, Raymore, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raymore, Missouri Context triple: [Kansas City metropolitan area, hasPart, Raymore, Missouri]
-
A.
Raymore, Missouri
chosen
Raymore, Missouri is a rapidly growing suburban city in Cass County that forms part of the Kansas City metropolitan area.
-
B.
Raytown, Missouri
Raytown, Missouri is a suburban city in the Kansas City metropolitan area known for its residential neighborhoods and local community character.
-
C.
Grandview, Missouri
Grandview, Missouri is a suburban city in the Kansas City metropolitan area known primarily as the childhood home of President Harry S. Truman.
-
D.
Sibley, Missouri
Sibley, Missouri is a small village in western Missouri known for its proximity to the historic Fort Osage site along the Missouri River.
-
E.
Excelsior Springs, Missouri
Excelsior Springs, Missouri is a small city in the Kansas City metropolitan area known historically for its mineral water springs and resort heritage.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc7d88c81909fe493ac57fd784e |
completed | March 1, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a826c02e6c8190843304ae6e27ae37 |
completed | March 4, 2026, 12:34 p.m. |
Created at: March 1, 2026, 7:35 p.m.