Triple
T7761575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence County, Missouri |
E176033
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Verona, Missouri
Verona, Missouri is a small city in southwestern Missouri that serves as a local community hub within Lawrence County.
|
E690663
|
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: Verona, Missouri | Statement: [Lawrence County, Missouri, hasCity, Verona, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verona, Missouri Context triple: [Lawrence County, Missouri, hasCity, Verona, Missouri]
-
A.
New London, Missouri
New London, Missouri is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
-
B.
Mount Vernon, Missouri
Mount Vernon, Missouri is a small city in southwest Missouri known as the administrative and commercial hub of Lawrence County.
-
C.
Portia, Missouri
Portia, Missouri is a small unincorporated community located in Vernon County in the western part of the state.
-
D.
Virgil City, Missouri
Virgil City, Missouri is a small unincorporated community located in rural Vernon County in the western part of the state.
-
E.
Neosho, Missouri
Neosho, Missouri is a small city in southwestern Missouri known for its historic downtown, natural springs, and role as the county seat of Newton County.
- 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: Verona, Missouri Triple: [Lawrence County, Missouri, hasCity, Verona, Missouri]
Generated description
Verona, Missouri is a small city in southwestern Missouri that serves as a local community hub within Lawrence County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verona, Missouri Target entity description: Verona, Missouri is a small city in southwestern Missouri that serves as a local community hub within Lawrence County.
-
A.
New London, Missouri
New London, Missouri is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
-
B.
Mount Vernon, Missouri
Mount Vernon, Missouri is a small city in southwest Missouri known as the administrative and commercial hub of Lawrence County.
-
C.
Portia, Missouri
Portia, Missouri is a small unincorporated community located in Vernon County in the western part of the state.
-
D.
Virgil City, Missouri
Virgil City, Missouri is a small unincorporated community located in rural Vernon County in the western part of the state.
-
E.
Neosho, Missouri
Neosho, Missouri is a small city in southwestern Missouri known for its historic downtown, natural springs, and role as the county seat of Newton County.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70404c2108190ad2b900ac9bf582b |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c941fcac908190a2e9401f136b5f77 |
completed | March 29, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69c942c47f9c819082c54383407c7b54 |
completed | March 29, 2026, 3:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c94317cd608190a5047610c2bec670 |
completed | March 29, 2026, 3:19 p.m. |
Created at: March 27, 2026, 4:09 p.m.