Triple
T5691453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southeast Kansas |
E125435
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Arma, Kansas |
E131380
|
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: Arma, Kansas | Statement: [Southeast Kansas, contains, Arma, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arma, Kansas Context triple: [Southeast Kansas, contains, Arma, Kansas]
-
A.
Arma, Kansas
chosen
Arma, Kansas is a small city in southeastern Kansas known historically as a coal mining community within the Pittsburg micropolitan area.
-
B.
Alma, Kansas
Alma, Kansas is a small city in Wabaunsee County that serves as the county seat and lies within the broader Manhattan, Kansas region.
-
C.
Herzog, Kansas
Herzog, Kansas is a historic Volga German immigrant settlement that later became part of the city of Victoria in Ellis County, Kansas.
-
D.
De Soto, Kansas
De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
-
E.
Mission, Kansas
Mission, Kansas is a small suburban city in Johnson County that forms part of the Kansas City metropolitan area.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e500ec8190bfda4f6a818aa5dc |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a4baea481908b4766888fd3edf1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.