Triple
T23159305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris, Missouri |
E578534
|
entity |
| Predicate | hasSubdivisionName |
P12497
|
FINISHED |
| Object |
Monroe County
Monroe County is a county-level administrative division located in the U.S. state of Missouri.
|
E1572129
|
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: Monroe County | Statement: [Paris, Missouri, hasSubdivisionName, Monroe County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monroe County Context triple: [Paris, Missouri, hasSubdivisionName, Monroe County]
-
A.
Monroe County
Monroe County is a rural county in south-central Iowa known for its agricultural landscape and small communities such as Melrose.
-
B.
Monroe County
Monroe County is a rural county located in south-central Kentucky, known for its agricultural landscape and small communities such as its county seat, Tompkinsville.
-
C.
Monroe County
Monroe County is a large, sparsely populated county in southern Florida that includes the Florida Keys and portions of the mainland, known for its coastal ecosystems, tourism, and protected natural areas.
-
D.
Monroe County
Monroe County is a county in central Georgia known for its mix of rural communities, historic towns like Forsyth, and its location along major transportation routes between Atlanta and Macon.
-
E.
Monroe County
Monroe County is a rural county in southern West Virginia known for its scenic Appalachian landscapes, agriculture, and historic small towns.
- 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: Monroe County Triple: [Paris, Missouri, hasSubdivisionName, Monroe County]
Generated description
Monroe County is a county-level administrative division located in the U.S. state of Missouri.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Monroe County Target entity description: Monroe County is a county-level administrative division located in the U.S. state of Missouri.
-
A.
Monroe County
Monroe County is a rural county in south-central Iowa known for its agricultural landscape and small communities such as Melrose.
-
B.
Monroe County
Monroe County is a rural county in eastern Ohio along the Ohio River, known for its small communities and Appalachian landscape.
-
C.
Monroe County
Monroe County is a rural county located in south-central Kentucky, known for its agricultural landscape and small communities such as its county seat, Tompkinsville.
-
D.
Monroe County
Monroe County is a rural county in southern West Virginia known for its scenic Appalachian landscapes, agriculture, and historic small towns.
-
E.
Monroe County
Monroe County is a county in the U.S. state of Michigan located along the western shore of Lake Erie, south of Detroit.
- 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18eff965081909aaa6fc1910293e2 |
completed | April 29, 2026, 4:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3071f534819087a97c49ff2d6e69 |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c318962b08190998fa5148bb0b9d3 |
completed | May 19, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c31e1bac08190a1af4a85a9282d75 |
completed | May 19, 2026, 9:48 a.m. |
Created at: April 17, 2026, 4:02 p.m.