Triple
T8967683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morris County, Kansas |
E214178
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dwight, Kansas |
E526064
|
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: Dwight, Kansas | Statement: [Morris County, Kansas, contains, Dwight, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dwight, Kansas Context triple: [Morris County, Kansas, contains, Dwight, Kansas]
-
A.
Dwight, Kansas
chosen
Dwight, Kansas is a small rural city in Morris County that forms part of the Manhattan, Kansas metropolitan region.
-
B.
Dennis, Kansas
Dennis, Kansas is a small unincorporated rural community located in Labette County in southeastern Kansas.
-
C.
Thayer, Kansas
Thayer, Kansas is a small rural city located in Neosho County in southeastern Kansas, known for its agricultural surroundings and small-town community.
-
D.
Kinsley, Kansas
Kinsley, Kansas is a small city in south-central Kansas known for its location near the geographic midpoint between New York City and San Francisco.
-
E.
Willard, Kansas
Willard, Kansas is a small rural city located in Shawnee County in the northeastern part of the state.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc676389948190aa78fdf6a5ae74a5 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152541308819098cdca4f3ba9011d |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 7:01 p.m.