Triple
T18513517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Frontenac |
E452401
|
entity |
| Predicate | formedByAmalgamationOf |
P6637
|
FINISHED |
| Object |
Olden Township
Olden Township was a former rural municipality in eastern Ontario, Canada, that later became part of the larger Township of Central Frontenac.
|
E1329414
|
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: Olden Township | Statement: [Central Frontenac, formedByAmalgamationOf, Olden Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olden Township Context triple: [Central Frontenac, formedByAmalgamationOf, Olden Township]
-
A.
Bowne Township
Bowne Township is a civil township located in Kent County in the U.S. state of Michigan.
-
B.
Landis Township
Landis Township was a former municipality in Cumberland County, New Jersey, that was eventually incorporated into the city of Vineland.
-
C.
Knowlton Township
Knowlton Township is a rural municipality in Warren County, New Jersey, known for its scenic landscapes along the Delaware River and historic small-town character.
-
D.
Courtland Township
Courtland Township is a civil township located in Kent County in the U.S. state of Michigan.
-
E.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
- 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: Olden Township Triple: [Central Frontenac, formedByAmalgamationOf, Olden Township]
Generated description
Olden Township was a former rural municipality in eastern Ontario, Canada, that later became part of the larger Township of Central Frontenac.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olden Township Target entity description: Olden Township was a former rural municipality in eastern Ontario, Canada, that later became part of the larger Township of Central Frontenac.
-
A.
Bowne Township
Bowne Township is a civil township located in Kent County in the U.S. state of Michigan.
-
B.
Landis Township
Landis Township was a former municipality in Cumberland County, New Jersey, that was eventually incorporated into the city of Vineland.
-
C.
Knowlton Township
Knowlton Township is a rural municipality in Warren County, New Jersey, known for its scenic landscapes along the Delaware River and historic small-town character.
-
D.
Courtland Township
Courtland Township is a civil township located in Kent County in the U.S. state of Michigan.
-
E.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53348274c8190a82861b0104538e3 |
completed | April 19, 2026, 7:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049168fcc081909014082413989708 |
completed | May 13, 2026, 2:57 p.m. |
| NEDg | Description generation | batch_6a049341170c8190bc5926cdda2bd24b |
completed | May 13, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0493aa28f48190a6d0ba15db156be2 |
completed | May 13, 2026, 3:07 p.m. |
Created at: April 10, 2026, 11:36 a.m.