Triple
T29515352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tay Township |
E748779
|
entity |
| Predicate | hasRegionNickname |
P69635
|
FINISHED |
| Object |
Heart of Georgian Bay
Heart of Georgian Bay is a regional nickname highlighting the scenic waterfront communities and natural beauty at the centre of Ontario’s Georgian Bay area.
|
E1872951
|
NE FINISHED |
How this triple was built (3 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: Heart of Georgian Bay | Statement: [Tay Township, hasRegionNickname, Heart of Georgian Bay]
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: Heart of Georgian Bay Triple: [Tay Township, hasRegionNickname, Heart of Georgian Bay]
Generated description
Heart of Georgian Bay is a regional nickname highlighting the scenic waterfront communities and natural beauty at the centre of Ontario’s Georgian Bay area.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionNickname Context triple: [Tay Township, hasRegionNickname, Heart of Georgian Bay]
-
A.
regionalNickname
chosen
Indicates that one entity is an informal or colloquial name used for another entity within a specific geographic region.
-
B.
touristRegionNickname
Indicates that a tourist region is known by a particular informal or colloquial nickname.
-
C.
hasRegionalName
Indicates that an entity is known by a specific name or designation within a particular region or locality.
-
D.
regionName
Indicates the name assigned to a specific geographic or administrative region.
-
E.
mentionsRegion
Indicates that one entity explicitly refers to or cites a specific geographic region in its content or context.
- F. None of above.
Provenance (6 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_69f0bd461c208190bec20bbf24e02cc5 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_6a00037bf4148190a58593d30efdd3f8 |
completed | May 10, 2026, 4:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a260c2204608190a426e770c351239d |
completed | June 8, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_6a26103b50948190a67b288cf9f474ce |
completed | June 8, 2026, 12:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a261bab40048190b31f5b12454bedbf |
completed | June 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_6a0000b7af608190b718fc4111bcdad8 |
completed | May 10, 2026, 3:51 a.m. |
Created at: April 28, 2026, 4:36 p.m.