Triple
T3779112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randolph County, Missouri |
E83376
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
College Mound, Missouri
College Mound, Missouri is a small unincorporated community located in Randolph County in the central part of the state.
|
E387691
|
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: College Mound, Missouri | Statement: [Randolph County, Missouri, hasSettlement, College Mound, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College Mound, Missouri Context triple: [Randolph County, Missouri, hasSettlement, College Mound, Missouri]
-
A.
Moundville, Missouri
Moundville, Missouri is a small rural village located in Vernon County in the western part of the state.
-
B.
Blue Mound, Missouri
Blue Mound, Missouri is a small rural community located in Vernon County in the western part of the U.S. state of Missouri.
-
C.
Oakwood Park, Missouri
Oakwood Park, Missouri is a small suburban community in Clay County that forms part of the Kansas City metropolitan area.
-
D.
Oakview, Missouri
Oakview, Missouri is a small suburban village in Clay County that forms part of the Kansas City metropolitan area.
-
E.
Elkhorn, Missouri
Elkhorn, Missouri is a small unincorporated rural community located in Ray County in the U.S. state of Missouri.
- 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: College Mound, Missouri Triple: [Randolph County, Missouri, hasSettlement, College Mound, Missouri]
Generated description
College Mound, Missouri is a small unincorporated community located in Randolph County in the central part of the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: College Mound, Missouri Target entity description: College Mound, Missouri is a small unincorporated community located in Randolph County in the central part of the state.
-
A.
Moundville, Missouri
Moundville, Missouri is a small rural village located in Vernon County in the western part of the state.
-
B.
Blue Mound, Missouri
Blue Mound, Missouri is a small rural community located in Vernon County in the western part of the U.S. state of Missouri.
-
C.
Oakwood Park, Missouri
Oakwood Park, Missouri is a small suburban community in Clay County that forms part of the Kansas City metropolitan area.
-
D.
Oakview, Missouri
Oakview, Missouri is a small suburban village in Clay County that forms part of the Kansas City metropolitan area.
-
E.
Elkhorn, Missouri
Elkhorn, Missouri is a small unincorporated rural community located in Ray County in the U.S. state of Missouri.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc78173081908b230017834cdf9e |
completed | March 8, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f040676c8190aa3a7952a9d6f62b |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f159d7e88190a76d51378ba141d3 |
completed | March 14, 2026, 5:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f220f9388190b2c3615f713f01f2 |
completed | March 14, 2026, 5:29 a.m. |
Created at: March 8, 2026, 3:36 p.m.