Triple
T4232349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellis Downtown Historic District |
E94608
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Ellis, Kansas |
E403790
|
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: Ellis, Kansas | Statement: [Ellis Downtown Historic District, city, Ellis, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellis, Kansas Context triple: [Ellis Downtown Historic District, city, Ellis, Kansas]
-
A.
Ellis, Kansas
chosen
Ellis, Kansas is a small city in western Kansas known as the boyhood home of automotive pioneer Walter P. Chrysler and for its railroad heritage.
-
B.
Ellsworth, Kansas
Ellsworth, Kansas is a small central Kansas city historically known as a 19th-century cattle town and later as the site of institutions such as St. Joseph Military Academy.
-
C.
Holcomb, Kansas
Holcomb, Kansas is a small rural village in western Kansas best known as the real-life setting of Truman Capote’s true-crime book "In Cold Blood."
-
D.
De Soto, Kansas
De Soto, Kansas is a small city in northeastern Kansas that forms part of the Kansas City metropolitan area.
-
E.
Merriam, Kansas
Merriam, Kansas is a small suburban city in Johnson County that forms part of the greater 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e642aac8190977dd101e27afcbb |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f60b49481908b2199544868769c |
completed | March 20, 2026, 5:09 p.m. |
Created at: March 12, 2026, 11:05 p.m.