Triple
T1322605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamar R-I School District |
E28252
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object |
Lamar, Missouri
Lamar, Missouri is a small city in southwestern Missouri best known as the birthplace of U.S. President Harry S. Truman.
|
E295816
|
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: Lamar, Missouri | Statement: [Lamar R-I School District, servesCity, Lamar, Missouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamar, Missouri Context triple: [Lamar R-I School District, servesCity, Lamar, Missouri]
-
A.
Bellamy, Missouri
Bellamy, Missouri is a small unincorporated community located in rural Vernon County in the western part of the state.
-
B.
Richards, Missouri
Richards, Missouri is a small rural village located in western Missouri within Vernon County.
-
C.
Ellis, Missouri
Ellis, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
-
D.
Rinehart, Missouri
Rinehart, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
-
E.
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.
- 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: Lamar, Missouri Triple: [Lamar R-I School District, servesCity, Lamar, Missouri]
Generated description
Lamar, Missouri is a small city in southwestern Missouri best known as the birthplace of U.S. President Harry S. Truman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lamar, Missouri Target entity description: Lamar, Missouri is a small city in southwestern Missouri best known as the birthplace of U.S. President Harry S. Truman.
-
A.
Bellamy, Missouri
Bellamy, Missouri is a small unincorporated community located in rural Vernon County in the western part of the state.
-
B.
Richards, Missouri
Richards, Missouri is a small rural village located in western Missouri within Vernon County.
-
C.
Ellis, Missouri
Ellis, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
-
D.
Rinehart, Missouri
Rinehart, Missouri is a small unincorporated community located in Vernon County in the western part of the U.S. state of Missouri.
-
E.
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.
- 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_69a498540a2481909e807a762280d3ba |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c19b76b48190aa8857b80971a842 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbba3f0ec81909c73a0e3a0e0d3f2 |
completed | March 10, 2026, 6:35 a.m. |
| NEDg | Description generation | batch_69afbcd294cc819094e13bd85266c3cc |
completed | March 10, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd452e1c8190a3ee9eaf642e80a0 |
completed | March 10, 2026, 6:42 a.m. |
Created at: March 1, 2026, 7:55 p.m.