Triple
T4810479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawnee County, Kansas |
E107055
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object |
Soldier Creek
Soldier Creek is a stream in northeastern Kansas that flows through Shawnee County and serves as a tributary of the Kansas River.
|
E691701
|
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: Soldier Creek | Statement: [Shawnee County, Kansas, containsRiver, Soldier Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soldier Creek Context triple: [Shawnee County, Kansas, containsRiver, Soldier Creek]
-
A.
Sandburg Creek
Sandburg Creek is a small stream in New York’s Hudson Valley that feeds into the larger Rondout Creek within the Catskill region.
-
B.
Frenchman Creek
Frenchman Creek is a stream in the central Great Plains of the United States that flows through Colorado and Nebraska before joining the Republican River.
-
C.
Hannibal Creek
Hannibal Creek is a waterway after which the city of Hannibal, Missouri, is named.
-
D.
Nine Mile Creek
Nine Mile Creek is a stream in central New York that drains surrounding uplands and serves as a key tributary in the local lake and river system.
-
E.
Brandy Creek
Brandy Creek is a smaller stream in Michigan that feeds into the Muskegon River as one of its tributaries.
- 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: Soldier Creek Triple: [Shawnee County, Kansas, containsRiver, Soldier Creek]
Generated description
Soldier Creek is a stream in northeastern Kansas that flows through Shawnee County and serves as a tributary of the Kansas River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soldier Creek Target entity description: Soldier Creek is a stream in northeastern Kansas that flows through Shawnee County and serves as a tributary of the Kansas River.
-
A.
Sandburg Creek
Sandburg Creek is a small stream in New York’s Hudson Valley that feeds into the larger Rondout Creek within the Catskill region.
-
B.
Frenchman Creek
Frenchman Creek is a stream in the central Great Plains of the United States that flows through Colorado and Nebraska before joining the Republican River.
-
C.
Hannibal Creek
Hannibal Creek is a waterway after which the city of Hannibal, Missouri, is named.
-
D.
Nine Mile Creek
Nine Mile Creek is a stream in central New York that drains surrounding uplands and serves as a key tributary in the local lake and river system.
-
E.
Brandy Creek
Brandy Creek is a smaller stream in Michigan that feeds into the Muskegon River as one of its tributaries.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c7b879081908e0c92a67422906e |
completed | March 20, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9a53a44e48190bddf0f4faec136e7 |
completed | March 29, 2026, 10:18 p.m. |
| NEDg | Description generation | batch_69c9a665ccc081909564e4c83dbd303c |
completed | March 29, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9a6b366348190b72f896243c70c38 |
completed | March 29, 2026, 10:24 p.m. |
Created at: March 20, 2026, 1:23 p.m.