Triple
T2242199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Massachusetts |
E49421
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Auburn
Auburn is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
|
E247811
|
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: Auburn | Statement: [Central Massachusetts, containsTown, Auburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auburn Context triple: [Central Massachusetts, containsTown, Auburn]
-
A.
Auburn
Auburn is a city in eastern Alabama known for being home to Auburn University and its strong college-town atmosphere.
-
B.
Auburn
Auburn is a suburban city in Washington State located south of Seattle, known for its residential communities, industrial areas, and regional transportation links.
-
C.
Auburn
Auburn is a historic Gold Rush-era city in California’s Sierra Nevada foothills, known for its preserved Old Town and role in the state’s mining heritage.
-
D.
Auburn, Georgia
Auburn, Georgia is a small city in Barrow and Gwinnett counties within the Atlanta metropolitan area.
-
E.
Tuscaloosa, Alabama
Tuscaloosa, Alabama is a city in western Alabama known as the home of the University of Alabama and a regional center for education, healthcare, and industry.
- 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: Auburn Triple: [Central Massachusetts, containsTown, Auburn]
Generated description
Auburn is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Auburn Target entity description: Auburn is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
-
A.
Auburn
Auburn is a suburban city in Washington State located south of Seattle, known for its residential communities, industrial areas, and regional transportation links.
-
B.
Auburn
Auburn is a city in eastern Alabama known for being home to Auburn University and its strong college-town atmosphere.
-
C.
Auburn
Auburn is a historic Gold Rush-era city in California’s Sierra Nevada foothills, known for its preserved Old Town and role in the state’s mining heritage.
-
D.
Auburn, Georgia
Auburn, Georgia is a small city in Barrow and Gwinnett counties within the Atlanta metropolitan area.
-
E.
Tuscaloosa, Alabama
Tuscaloosa, Alabama is a city in western Alabama known as the home of the University of Alabama and a regional center for education, healthcare, and industry.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0c017548190a71fb4a0e2a8189f |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0eef98819083bede32490cba7e |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6bbccdb08190a73fd20a110219d9 |
completed | March 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c3d07a08190a6221a33fd02f73e |
completed | March 9, 2026, 6:44 a.m. |
Created at: March 4, 2026, 7:47 p.m.