Triple
T6755529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Township of South Dundas |
E154447
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object |
Wales
Wales is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
|
E616083
|
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: Wales | Statement: [Township of South Dundas, hasCommunity, Wales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wales Context triple: [Township of South Dundas, hasCommunity, Wales]
-
A.
Wales
Wales is a country on the western side of Great Britain, known for its distinct Celtic culture, Welsh language, mountainous national parks, and historic castles.
-
B.
Prydain
Prydain is a fictional, myth-inspired fantasy land created by Lloyd Alexander as the setting for his Chronicles of Prydain series.
-
C.
Talywain
Talywain is a small village and former coal-mining community in the county borough of Torfaen in south-east Wales.
-
D.
Morgannwg
Morgannwg is the traditional Welsh name for the historic county of Glamorgan in south Wales, known for its rich medieval heritage and early industrial development.
-
E.
England and Wales
England and Wales is a legal jurisdiction within the United Kingdom, encompassing two of its constituent countries and sharing a unified legal system and many governmental institutions.
- 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: Wales Triple: [Township of South Dundas, hasCommunity, Wales]
Generated description
Wales is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wales Target entity description: Wales is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
A.
Wales
Wales is a country on the western side of Great Britain, known for its distinct Celtic culture, Welsh language, mountainous national parks, and historic castles.
-
B.
Prydain
Prydain is a fictional, myth-inspired fantasy land created by Lloyd Alexander as the setting for his Chronicles of Prydain series.
-
C.
Talywain
Talywain is a small village and former coal-mining community in the county borough of Torfaen in south-east Wales.
-
D.
Morgannwg
Morgannwg is the traditional Welsh name for the historic county of Glamorgan in south Wales, known for its rich medieval heritage and early industrial development.
-
E.
England and Wales
England and Wales is a legal jurisdiction within the United Kingdom, encompassing two of its constituent countries and sharing a unified legal system and many governmental institutions.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f5ab0881908619b835b9f068d4 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70afcbe308190909fe8f34ca8e5e2 |
completed | March 27, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69c70cc64b208190b01c596f704a6bfb |
completed | March 27, 2026, 11:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70d1b8c848190b2235f461df135ed |
completed | March 27, 2026, 11:04 p.m. |
Created at: March 27, 2026, 2:11 p.m.