Triple
T1307889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dade County, Missouri |
E27920
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Greenfield, Missouri |
E265364
|
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: Greenfield, Missouri | Statement: [Dade County, Missouri, largestCity, Greenfield, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenfield, Missouri Context triple: [Dade County, Missouri, largestCity, Greenfield, Missouri]
-
A.
Greenfield, Missouri
chosen
Greenfield, Missouri is a small city in southwestern Missouri that serves as the administrative and commercial hub of Dade County.
-
B.
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.
-
C.
Greenwood, Missouri
Greenwood, Missouri is a small suburban city in the Kansas City metropolitan area located in Jackson County in western Missouri.
-
D.
South Greenfield, Missouri
South Greenfield, Missouri is a small rural village located in southwestern Missouri within Dade County.
-
E.
Gladstone, Missouri
Gladstone, Missouri is a suburban city in the Kansas City metropolitan area known for its residential neighborhoods and community-oriented services.
- 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_69a496d7d83481908f83085854e51328 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c13806b48190a0db33f8e5d53734 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef06424f48190bf3604cc342992b6 |
completed | March 9, 2026, 4:08 p.m. |
Created at: March 1, 2026, 7:51 p.m.