Triple
T8657865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Severn Sound |
E205467
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Tiny Township |
E547960
|
NE FINISHED |
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: Tiny Township | Statement: [Severn Sound, borderedBy, Tiny Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiny Township Context triple: [Severn Sound, borderedBy, Tiny Township]
-
A.
Township of Tiny
chosen
The Township of Tiny is a rural municipality in central Ontario, Canada, known for its scenic Georgian Bay shoreline, cottages, and natural landscapes.
-
B.
Little Town
Little Town is a small hamlet in the Newlands Valley of England’s Lake District, known as a starting point for popular fell walks and its picturesque rural setting.
-
C.
Toy Town
Toy Town is the colorful, whimsical village setting in Enid Blyton’s Noddy stories, inhabited by living toys and other playful characters.
-
D.
Littleville
Littleville is a small town located in Colbert County in the northwestern part of Alabama, United States.
-
E.
Mytown
Mytown was an Irish boy band from the late 1990s that featured future The Script frontman Danny O’Donoghue.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc486d576081908ad28749c7971432 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccec941881908263cd3205f10ccd |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:30 p.m.