Triple
T1322574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jasper County, Missouri |
E28251
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Oronogo, Missouri
Oronogo, Missouri is a small city in southwestern Missouri that forms part of the Joplin metropolitan area.
|
E152151
|
NE FINISHED |
How this triple was built (4 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: Oronogo, Missouri | Statement: [Jasper County, Missouri, hasCity, Oronogo, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oronogo, Missouri Context triple: [Jasper County, Missouri, hasCity, Oronogo, Missouri]
-
A.
Oakview, Missouri
Oakview, Missouri is a small suburban village in Clay County that forms part of the Kansas City metropolitan area.
-
B.
Gladstone, Missouri
Gladstone, Missouri is a suburban city in the Kansas City metropolitan area known for its residential neighborhoods and community-oriented services.
-
C.
Levasy, Missouri
Levasy, Missouri is a small rural city located in eastern Jackson County within the Kansas City metropolitan area.
-
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.
Sugar Creek, Missouri
Sugar Creek, Missouri is a small city in the Kansas City metropolitan area known historically for its oil refinery and blue-collar community character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oronogo, Missouri Triple: [Jasper County, Missouri, hasCity, Oronogo, Missouri]
Generated description
Oronogo, Missouri is a small city in southwestern Missouri that forms part of the Joplin metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oronogo, Missouri Target entity description: Oronogo, Missouri is a small city in southwestern Missouri that forms part of the Joplin metropolitan area.
-
A.
Oakview, Missouri
Oakview, Missouri is a small suburban village in Clay County that forms part of the Kansas City metropolitan area.
-
B.
Gladstone, Missouri
Gladstone, Missouri is a suburban city in the Kansas City metropolitan area known for its residential neighborhoods and community-oriented services.
-
C.
Levasy, Missouri
Levasy, Missouri is a small rural city located in eastern Jackson County within the Kansas City metropolitan area.
-
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.
Sugar Creek, Missouri
Sugar Creek, Missouri is a small city in the Kansas City metropolitan area known historically for its oil refinery and blue-collar community character.
- F. None of above. chosen
Provenance (5 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19b76b48190aa8857b80971a842 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf2e13dc8190902879be5fa69adb |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbf94e6e881908d15b2ef99f17668 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc0b212608190bbb2310402d86ed9 |
completed | March 8, 2026, 12:20 a.m. |
Created at: March 1, 2026, 7:55 p.m.