Triple
T21972024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Township of Front of Yonge |
E542612
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Mallorytown |
—
|
NE NERFINISHED |
How this triple was built (2 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: Mallorytown | Statement: [Township of Front of Yonge, hasCommunity, Mallorytown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mallorytown Context triple: [Township of Front of Yonge, hasCommunity, Mallorytown]
-
A.
Mallorytown
chosen
Mallorytown is a small rural community in Eastern Ontario, Canada, known as one of the earliest United Empire Loyalist settlements along the St. Lawrence River.
-
B.
Monkstown
Monkstown is a suburban coastal area in County Dublin, Ireland, known for its residential character and proximity to Dublin Bay.
-
C.
Charlemont
Charlemont is a developing residential suburb located within the City of Greater Geelong in Victoria, Australia.
-
D.
Charlemont
Charlemont is a stop on Dublin’s Luas light rail system, serving the Green Line near the city center.
-
E.
Charlemont
Charlemont is a small rural town in western Massachusetts known for its scenic location along the Mohawk Trail and its outdoor recreation activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c48070988190909db97667b9a0ac |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124857dcc8190ab474cd8ab9c130a |
completed | April 28, 2026, 9:20 p.m. |
Created at: April 16, 2026, 8:02 p.m.