Triple
T1355947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manitoulin Island |
E28987
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Burpee and Mills
Burpee and Mills is a rural township municipality located on Manitoulin Island in Ontario, Canada.
|
E156697
|
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: Burpee and Mills | Statement: [Manitoulin Island, hasMunicipality, Burpee and Mills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burpee and Mills Context triple: [Manitoulin Island, hasMunicipality, Burpee and Mills]
-
A.
Hurd & Houghton
Hurd & Houghton was a 19th-century American publishing firm that became part of the lineage leading to the modern educational and trade publisher Houghton Mifflin.
-
B.
Dewey & Almy
Dewey & Almy was an architectural firm known for designing major mid-20th-century infrastructure projects in New York City, including the Port Authority Bus Terminal.
-
C.
Rogers & Wells
Rogers & Wells was a prominent New York-based law firm known for its corporate and international legal practice before merging into Clifford Chance in 2000.
-
D.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- 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: Burpee and Mills Triple: [Manitoulin Island, hasMunicipality, Burpee and Mills]
Generated description
Burpee and Mills is a rural township municipality located on Manitoulin Island in Ontario, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burpee and Mills Target entity description: Burpee and Mills is a rural township municipality located on Manitoulin Island in Ontario, Canada.
-
A.
Hurd & Houghton
Hurd & Houghton was a 19th-century American publishing firm that became part of the lineage leading to the modern educational and trade publisher Houghton Mifflin.
-
B.
Dewey & Almy
Dewey & Almy was an architectural firm known for designing major mid-20th-century infrastructure projects in New York City, including the Port Authority Bus Terminal.
-
C.
Rogers & Wells
Rogers & Wells was a prominent New York-based law firm known for its corporate and international legal practice before merging into Clifford Chance in 2000.
-
D.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
E.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c28c8dd0819082f94c9e7c837c5f |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce6e264481909f7cb907486d3e08 |
completed | March 8, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69accf141c3481909ae5ea849aee7604 |
completed | March 8, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69accfb8acfc8190bba379d8bb114c29 |
completed | March 8, 2026, 1:24 a.m. |
Created at: March 1, 2026, 7:56 p.m.