Triple
T9081044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry County, Missouri |
E217621
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Deepwater, Missouri
Deepwater, Missouri is a small rural city located in west-central Missouri within Henry County.
|
E776383
|
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: Deepwater, Missouri | Statement: [Henry County, Missouri, containsTown, Deepwater, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deepwater, Missouri Context triple: [Henry County, Missouri, containsTown, Deepwater, Missouri]
-
A.
Elkhorn, Missouri
Elkhorn, Missouri is a small unincorporated rural community located in Ray County in the U.S. state of Missouri.
-
B.
Auxvasse, Missouri
Auxvasse, Missouri is a small city in central Missouri known for its rural character and location within Callaway County.
-
C.
Sibley, Missouri
Sibley, Missouri is a small village in western Missouri known for its proximity to the historic Fort Osage site along the Missouri River.
-
D.
La Belle, Missouri
La Belle, Missouri is a small rural community located in northeastern Missouri within Lewis County.
-
E.
Riverside, Missouri
Riverside, Missouri is a small city in Platte County near Kansas City, known for its riverfront location along the Missouri River and its mix of residential areas, industry, and gaming attractions.
- 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: Deepwater, Missouri Triple: [Henry County, Missouri, containsTown, Deepwater, Missouri]
Generated description
Deepwater, Missouri is a small rural city located in west-central Missouri within Henry County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deepwater, Missouri Target entity description: Deepwater, Missouri is a small rural city located in west-central Missouri within Henry County.
-
A.
Elkhorn, Missouri
Elkhorn, Missouri is a small unincorporated rural community located in Ray County in the U.S. state of Missouri.
-
B.
Auxvasse, Missouri
Auxvasse, Missouri is a small city in central Missouri known for its rural character and location within Callaway County.
-
C.
Sibley, Missouri
Sibley, Missouri is a small village in western Missouri known for its proximity to the historic Fort Osage site along the Missouri River.
-
D.
La Belle, Missouri
La Belle, Missouri is a small rural community located in northeastern Missouri within Lewis County.
-
E.
Riverside, Missouri
Riverside, Missouri is a small city in Platte County near Kansas City, known for its riverfront location along the Missouri River and its mix of residential areas, industry, and gaming attractions.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9607942c8190a21620892ce3cbe5 |
completed | April 1, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe28ae548190924cc7bbf453f3f3 |
completed | April 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69d000d4a4548190939a9a9946be469b |
completed | April 3, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d001b245f08190a8e5c53c570b20a0 |
completed | April 3, 2026, 6:06 p.m. |
Created at: March 30, 2026, 7:13 p.m.