Triple
T9814498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirk Lake |
E238364
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Putnam County |
E15885
|
NE FINISHED |
How this triple was built (2 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: Putnam County | Statement: [Kirk Lake, county, Putnam County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Putnam County Context triple: [Kirk Lake, county, Putnam County]
-
A.
Putnam County
chosen
Putnam County is a suburban county in southeastern New York State known for its lakes, forests, and commuter communities north of New York City.
-
B.
Putnam County
Putnam County is a fictional small-town American community best known as the quirky backdrop for the musical "The 25th Annual Putnam County Spelling Bee."
-
C.
Dickinson County
Dickinson County is a county in central Kansas known for including the city of Abilene, a historic cattle town and the boyhood home of President Dwight D. Eisenhower.
-
D.
Clinton County
Clinton County is the name of numerous counties in the United States, typically named after prominent American statesmen such as George Clinton or DeWitt Clinton.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb2f19660819083e3f15780352052 |
completed | April 2, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d299b0ed588190ae5fe6e87db668c7 |
completed | April 5, 2026, 5:19 p.m. |
Created at: March 30, 2026, 8:30 p.m.