Triple
T7768631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carleton County, Ontario |
E179012
|
entity |
| Predicate | contained |
P1393
|
FINISHED |
| Object |
Huntley Township
Huntley Township was a former rural municipality in eastern Ontario, Canada, that later became part of the city of Ottawa.
|
E689116
|
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: Huntley Township | Statement: [Carleton County, Ontario, contained, Huntley Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huntley Township Context triple: [Carleton County, Ontario, contained, Huntley Township]
-
A.
Hilliard Township
Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
B.
O'Hara Township
O'Hara Township is a suburban municipality in Allegheny County, Pennsylvania, located northeast of Pittsburgh along the Allegheny River.
-
C.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
-
D.
Wheatland Township
Wheatland Township is a local civil township that serves as the community and administrative area encompassing the Wheatland Township Library.
-
E.
Sylvania Township
Sylvania Township is a suburban township in northwest Ohio that serves as a residential and commercial community within the Toledo metropolitan area.
- 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: Huntley Township Triple: [Carleton County, Ontario, contained, Huntley Township]
Generated description
Huntley Township was a former rural municipality in eastern Ontario, Canada, that later became part of the city of Ottawa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huntley Township Target entity description: Huntley Township was a former rural municipality in eastern Ontario, Canada, that later became part of the city of Ottawa.
-
A.
Hilliard Township
Hilliard Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
B.
O'Hara Township
O'Hara Township is a suburban municipality in Allegheny County, Pennsylvania, located northeast of Pittsburgh along the Allegheny River.
-
C.
Laird Township
Laird Township is a small rural municipality in Ontario, Canada, located near Sault Ste. Marie in the Algoma District.
-
D.
Wheatland Township
Wheatland Township is a local civil township that serves as the community and administrative area encompassing the Wheatland Township Library.
-
E.
Sylvania Township
Sylvania Township is a suburban township in northwest Ohio that serves as a residential and commercial community within the Toledo metropolitan area.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ef0b6bb88190b5f98897ccbc07a6 |
completed | March 29, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69c8eff5a330819080b4abe2179bca46 |
completed | March 29, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8f088fa3c8190bf13aa7a98b4e886 |
completed | March 29, 2026, 9:27 a.m. |
Created at: March 27, 2026, 4:11 p.m.