Triple
T6947078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellsworth County, Kansas |
E160823
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Lorraine, Kansas
Lorraine, Kansas is a small rural city located in central Kansas within Ellsworth County.
|
E689067
|
NE FINISHED |
How this triple was built (4 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: Lorraine, Kansas | Statement: [Ellsworth County, Kansas, hasCity, Lorraine, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorraine, Kansas Context triple: [Ellsworth County, Kansas, hasCity, Lorraine, Kansas]
-
A.
Ellis, Kansas
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.
Labette, Kansas
Labette, Kansas is a small rural city located in southeastern Kansas within Labette County.
-
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.
Mission, Kansas
Mission, Kansas is a small suburban city in Johnson County that forms part of the Kansas City metropolitan area.
-
E.
Westmoreland, Kansas
Westmoreland, Kansas is a small city in northeastern Kansas that serves as the administrative and commercial hub for the surrounding rural area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lorraine, Kansas Triple: [Ellsworth County, Kansas, hasCity, Lorraine, Kansas]
Generated description
Lorraine, Kansas is a small rural city located in central Kansas within Ellsworth County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorraine, Kansas Target entity description: Lorraine, Kansas is a small rural city located in central Kansas within Ellsworth County.
-
A.
Ellis, Kansas
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.
Labette, Kansas
Labette, Kansas is a small rural city located in southeastern Kansas within Labette County.
-
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.
Mission, Kansas
Mission, Kansas is a small suburban city in Johnson County that forms part of the Kansas City metropolitan area.
-
E.
Westmoreland, Kansas
Westmoreland, Kansas is a small city in northeastern Kansas that serves as the administrative and commercial hub for the surrounding rural area.
- F. None of above. chosen
Provenance (5 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da8beb408190b5c87a354c614cf2 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8eee797a881909548186742cf7b66 |
completed | March 29, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69c8ef99d09c8190af2203bc1da07c7c |
completed | March 29, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8f088fa3c8190bf13aa7a98b4e886 |
completed | March 29, 2026, 9:27 a.m. |
Created at: March 27, 2026, 2:28 p.m.