Triple
T4379798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nez Perce County |
E99101
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Clearwater County
Clearwater County is a rural county in north-central Idaho known for its forested mountains, rivers, and outdoor recreation opportunities.
|
E439449
|
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: Clearwater County | Statement: [Nez Perce County, borders, Clearwater County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clearwater County Context triple: [Nez Perce County, borders, Clearwater County]
-
A.
Ogemaw County
Ogemaw County is a rural county in the northeastern Lower Peninsula of Michigan, known for its forests, lakes, and outdoor recreation opportunities.
-
B.
Roseau County
Roseau County is a rural county in northwestern Minnesota known for its agriculture, forests, and proximity to the Canadian border.
-
C.
Cass County
Cass County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
-
D.
Alcona County
Alcona County is a rural county in northeastern Lower Michigan known for its forests, inland lakes, and Lake Huron shoreline.
-
E.
Upson County
Upson County is a county in central Georgia, United States, known for its seat in Thomaston and its mix of rural communities and small-town industry.
- 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: Clearwater County Triple: [Nez Perce County, borders, Clearwater County]
Generated description
Clearwater County is a rural county in north-central Idaho known for its forested mountains, rivers, and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clearwater County Target entity description: Clearwater County is a rural county in north-central Idaho known for its forested mountains, rivers, and outdoor recreation opportunities.
-
A.
Ogemaw County
Ogemaw County is a rural county in the northeastern Lower Peninsula of Michigan, known for its forests, lakes, and outdoor recreation opportunities.
-
B.
Roseau County
Roseau County is a rural county in northwestern Minnesota known for its agriculture, forests, and proximity to the Canadian border.
-
C.
Cass County
Cass County is a rural county in southwestern Iowa known for its agricultural landscape and small communities.
-
D.
Alcona County
Alcona County is a rural county in northeastern Lower Michigan known for its forests, inland lakes, and Lake Huron shoreline.
-
E.
Upson County
Upson County is a county in central Georgia, United States, known for its seat in Thomaston and its mix of rural communities and small-town industry.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3524154dc81908532cdf997dcb802 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6135623888190bf7a4b558ca3e0d4 |
completed | March 15, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_69b614371b2081909fabb88f2993dd29 |
completed | March 15, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6155a57c08190bbf2e88f95cede16 |
completed | March 15, 2026, 2:11 a.m. |
Created at: March 12, 2026, 11:18 p.m.