Triple
T60713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Superior |
E1205
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object |
Marquette
Marquette is a city in Michigan’s Upper Peninsula known as a key shipping and commercial hub on the southern shore of Lake Superior.
|
E5180
|
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: Marquette | Statement: [Lake Superior, hasMajorPort, Marquette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marquette Context triple: [Lake Superior, hasMajorPort, Marquette]
-
A.
Heart of America
Heart of America is a nickname for Kansas City, Missouri, highlighting its central location and cultural significance in the United States.
-
B.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
C.
Delano
Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
-
D.
Holland, Michigan
Holland, Michigan is a city on the shores of Lake Michigan known for its strong Dutch heritage, annual Tulip Time Festival, and traditional Dutch architecture and culture.
-
E.
Lawrence
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack 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: Marquette Triple: [Lake Superior, hasMajorPort, Marquette]
Generated description
Marquette is a city in Michigan’s Upper Peninsula known as a key shipping and commercial hub on the southern shore of Lake Superior.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marquette Target entity description: Marquette is a city in Michigan’s Upper Peninsula known as a key shipping and commercial hub on the southern shore of Lake Superior.
-
A.
Heart of America
Heart of America is a nickname for Kansas City, Missouri, highlighting its central location and cultural significance in the United States.
-
B.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
C.
Delano
Delano is the middle name of Franklin D. Roosevelt, the 32nd president of the United States.
-
D.
Holland, Michigan
Holland, Michigan is a city on the shores of Lake Michigan known for its strong Dutch heritage, annual Tulip Time Festival, and traditional Dutch architecture and culture.
-
E.
Lawrence
Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24ee244548190bd0e5c01233cbad8 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2554a9e70819099ab14df3da5e403 |
completed | Feb. 28, 2026, 2:39 a.m. |
| NEDg | Description generation | batch_69a2569d3d008190ad1546d18ba30375 |
completed | Feb. 28, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2573414808190bbab27e1f48479a5 |
completed | Feb. 28, 2026, 2:47 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.