Triple
T19864707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stone County, Missouri |
E477359
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Crane, Missouri
Crane, Missouri is a small city in southwestern Missouri that serves as a local community hub within Stone County.
|
E1399086
|
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: Crane, Missouri | Statement: [Stone County, Missouri, hasSettlement, Crane, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crane, Missouri Context triple: [Stone County, Missouri, hasSettlement, Crane, Missouri]
-
A.
Neosho, Missouri
Neosho, Missouri is a small city in southwestern Missouri known for its historic downtown, natural springs, and role as the county seat of Newton County.
-
B.
Clark, Missouri
Clark, Missouri is a small rural village located in Randolph County in the central part of the U.S. state of Missouri.
-
C.
Scott, Missouri
Scott, Missouri is a small unincorporated community located in Cole County in the central region of the U.S. state of Missouri.
-
D.
Columbia, Missouri
Columbia, Missouri is a mid-sized city in central Missouri best known as a vibrant college town home to the University of Missouri.
-
E.
Clinton, Missouri
Clinton, Missouri is a small city and county seat in Henry County known as a regional hub for outdoor recreation near Truman Lake in western Missouri.
- 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: Crane, Missouri Triple: [Stone County, Missouri, hasSettlement, Crane, Missouri]
Generated description
Crane, Missouri is a small city in southwestern Missouri that serves as a local community hub within Stone County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crane, Missouri Target entity description: Crane, Missouri is a small city in southwestern Missouri that serves as a local community hub within Stone County.
-
A.
Neosho, Missouri
Neosho, Missouri is a small city in southwestern Missouri known for its historic downtown, natural springs, and role as the county seat of Newton County.
-
B.
Clark, Missouri
Clark, Missouri is a small rural village located in Randolph County in the central part of the U.S. state of Missouri.
-
C.
Scott, Missouri
Scott, Missouri is a small unincorporated community located in Cole County in the central region of the U.S. state of Missouri.
-
D.
Columbia, Missouri
Columbia, Missouri is a mid-sized city in central Missouri best known as a vibrant college town home to the University of Missouri.
-
E.
Clinton, Missouri
Clinton, Missouri is a small city and county seat in Henry County known as a regional hub for outdoor recreation near Truman Lake in western Missouri.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589d55a88190af7d4e12c4b07739 |
completed | April 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d44b9c948190a5d42d7e39fa60aa |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d7a80f588190a61ff318a4800e10 |
completed | May 16, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d89ae8308190a8bc35e303976fea |
completed | May 16, 2026, 2:38 a.m. |
Created at: April 10, 2026, 1:51 p.m.