Triple
T12825202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plymouth, Ohio |
E306631
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Plymouth
Plymouth is a small village in the U.S. state of Ohio known for its rural Midwestern character and historic roots.
|
E1008294
|
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: Plymouth | Statement: [Plymouth, Ohio, hasName, Plymouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plymouth Context triple: [Plymouth, Ohio, hasName, Plymouth]
-
A.
Plymouth
Plymouth is a small borough in Luzerne County, northeastern Pennsylvania, historically known as a coal-mining community along the Susquehanna River.
-
B.
Plymouth
Plymouth is a historic coastal town in Massachusetts, United States, best known as the landing site of the Pilgrims and often called "America’s Hometown."
-
C.
Plymouth
Plymouth is a historic port city on the south coast of Devon, England, known for its maritime heritage and role as a major naval base.
-
D.
Plymouth
Plymouth was an American automobile brand produced by Chrysler that offered affordable, mass-market vehicles from the late 1920s through the early 2000s.
-
E.
Plymouth
Plymouth is a small city in Sheboygan County, Wisconsin, known for its dairy industry heritage and location in the state's eastern lake country region.
- 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: Plymouth Triple: [Plymouth, Ohio, hasName, Plymouth]
Generated description
Plymouth is a small village in the U.S. state of Ohio known for its rural Midwestern character and historic roots.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plymouth Target entity description: Plymouth is a small village in the U.S. state of Ohio known for its rural Midwestern character and historic roots.
-
A.
Plymouth
Plymouth is a small city in Sheboygan County, Wisconsin, known for its dairy industry heritage and location in the state's eastern lake country region.
-
B.
Plymouth
Plymouth is a suburban city in Minnesota known for its residential communities, parks, and proximity to Minneapolis.
-
C.
Plymouth
Plymouth is a small borough in Luzerne County, northeastern Pennsylvania, historically known as a coal-mining community along the Susquehanna River.
-
D.
Plymouth
Plymouth is a historic coastal town in Massachusetts, United States, best known as the landing site of the Pilgrims and often called "America’s Hometown."
-
E.
Plymouth
Plymouth is a historic port city on the south coast of Devon, England, known for its maritime heritage and role as a major naval base.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96facb2d48190bc12efc00c9da360 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a544badc8190877c39728e57af6f |
completed | May 3, 2026, 1:30 a.m. |
| NEDg | Description generation | batch_69f6a69b218c8190b7a1783f4608c484 |
completed | May 3, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a7a3c9948190bc6cee51ee66103d |
completed | May 3, 2026, 1:40 a.m. |
Created at: April 9, 2026, 5:32 p.m.