Triple
T16045633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roebling Park |
E389210
|
entity |
| Predicate | municipality |
P852
|
FINISHED |
| Object |
Saxonburg
Saxonburg is a small borough in Butler County, Pennsylvania, known for its historic charm and connection to engineer John A. Roebling.
|
E1192776
|
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: Saxonburg | Statement: [Roebling Park, municipality, Saxonburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saxonburg Context triple: [Roebling Park, municipality, Saxonburg]
-
A.
Careysburg
Careysburg is a historic town in Liberia known as one of the early settlements established for freed African-American and Caribbean settlers.
-
B.
Eggertsville
Eggertsville is a suburban neighborhood in the town of Amherst, New York, just outside Buffalo.
-
C.
Sensburg
Sensburg is the former German name of the town now known as Mrągowo in northeastern Poland, historically part of East Prussia.
-
D.
Gerrardstown
Gerrardstown is a small unincorporated community in Berkeley County, West Virginia, known for its rural character and historic roots.
-
E.
Slatersville
Slatersville is a historic village in North Smithfield, Rhode Island, known as one of America’s first planned mill villages centered around early textile manufacturing.
- 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: Saxonburg Triple: [Roebling Park, municipality, Saxonburg]
Generated description
Saxonburg is a small borough in Butler County, Pennsylvania, known for its historic charm and connection to engineer John A. Roebling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saxonburg Target entity description: Saxonburg is a small borough in Butler County, Pennsylvania, known for its historic charm and connection to engineer John A. Roebling.
-
A.
Careysburg
Careysburg is a historic town in Liberia known as one of the early settlements established for freed African-American and Caribbean settlers.
-
B.
Eggertsville
Eggertsville is a suburban neighborhood in the town of Amherst, New York, just outside Buffalo.
-
C.
Sensburg
Sensburg is the former German name of the town now known as Mrągowo in northeastern Poland, historically part of East Prussia.
-
D.
Gerrardstown
Gerrardstown is a small unincorporated community in Berkeley County, West Virginia, known for its rural character and historic roots.
-
E.
Slatersville
Slatersville is a historic village in North Smithfield, Rhode Island, known as one of America’s first planned mill villages centered around early textile manufacturing.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835dd9a0819087e362cf5770232a |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe476d4488190abade3d6b4011435 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe63f757c81908c7dc3c5ae3075c6 |
completed | May 10, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6b3f25481908dd4b6108b5d95c0 |
completed | May 10, 2026, 2 a.m. |
Created at: April 10, 2026, 4:56 a.m.