Triple
T8355030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansas Territory |
E196661
|
entity |
| Predicate | significantSettlement |
P8239
|
FINISHED |
| Object | Lawrence, Kansas Territory |
E107652
|
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: Lawrence, Kansas Territory | Statement: [Kansas Territory, significantSettlement, Lawrence, Kansas Territory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence, Kansas Territory Context triple: [Kansas Territory, significantSettlement, Lawrence, Kansas Territory]
-
A.
Lawrence, Kansas
chosen
Lawrence, Kansas is a vibrant college town in northeastern Kansas known for the University of Kansas, its historic downtown, and a strong arts and music scene.
-
B.
Fort Scott, Kansas
Fort Scott, Kansas is a small historic city in southeastern Kansas known for its 19th-century frontier fort and role in Civil War-era conflicts.
-
C.
Wilson, Kansas
Wilson, Kansas is a small rural city in central Kansas known for its Czech heritage and location near Wilson Lake.
-
D.
De Soto, Kansas
De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
-
E.
McPherson, Kansas
McPherson, Kansas is a small central Kansas city known for its manufacturing base, historic downtown, and role as a regional educational and cultural hub.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8048edb88190a1980ad74818b898 |
completed | March 31, 2026, 8:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce029ea6b48190aca98c579a4fbe94 |
completed | April 2, 2026, 5:46 a.m. |
Created at: March 30, 2026, 5:59 p.m.