Triple
T5846505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwestern Ontario |
E129724
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Machin
Machin is a small township and municipality located in northwestern Ontario, Canada.
|
E550729
|
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: Machin | Statement: [Northwestern Ontario, hasCity, Machin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Machin Context triple: [Northwestern Ontario, hasCity, Machin]
-
A.
Mach
Mach is a surname most famously associated with Austrian physicist and philosopher Ernst Mach, whose work on the physics of motion and critical views on Newtonian mechanics influenced both science and philosophy.
-
B.
Mach
Mach is a pioneering microkernel-based operating system kernel architecture that introduced advanced concepts like message passing and modularity, influencing many modern OS designs.
-
C.
Haynrode
Haynrode is a small village in the German state of Thuringia.
-
D.
Colossus
Colossus is a powerful Russian mutant superhero from Marvel's X-Men comics, known for transforming his body into organic steel to gain immense strength and durability.
-
E.
Colossus
Colossus is a steel roller coaster at Thorpe Park in the UK, renowned for being the world's first coaster to feature ten inversions.
- 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: Machin Triple: [Northwestern Ontario, hasCity, Machin]
Generated description
Machin is a small township and municipality located in northwestern Ontario, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Machin Target entity description: Machin is a small township and municipality located in northwestern Ontario, Canada.
-
A.
Mach
Mach is a surname most famously associated with Austrian physicist and philosopher Ernst Mach, whose work on the physics of motion and critical views on Newtonian mechanics influenced both science and philosophy.
-
B.
Mach
Mach is a pioneering microkernel-based operating system kernel architecture that introduced advanced concepts like message passing and modularity, influencing many modern OS designs.
-
C.
Haynrode
Haynrode is a small village in the German state of Thuringia.
-
D.
Colossus
Colossus is a powerful Russian mutant superhero from Marvel's X-Men comics, known for transforming his body into organic steel to gain immense strength and durability.
-
E.
Colossus
Colossus is a steel roller coaster at Thorpe Park in the UK, renowned for being the world's first coaster to feature ten inversions.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0351157508190a78d2a7141e0cee8 |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1a9ffa881908b38eeddb411c4ab |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a33b6d4c81908f2adb838a8f3dff |
completed | March 23, 2026, 2:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a39b21488190ad2d38dde17aadeb |
completed | March 23, 2026, 2:21 a.m. |
Created at: March 22, 2026, 3:55 p.m.