Triple
T7250484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridal Veil Falls (Manitoulin Island) |
E157585
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Billings Township |
E541733
|
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: Billings Township | Statement: [Bridal Veil Falls (Manitoulin Island), hasMunicipality, Billings Township]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billings Township Context triple: [Bridal Veil Falls (Manitoulin Island), hasMunicipality, Billings Township]
-
A.
Billings Township
chosen
Billings Township is a small rural municipality located on Manitoulin Island in Ontario, Canada.
-
B.
Wilkins Township
Wilkins Township is a suburban municipality in Allegheny County, Pennsylvania, located just east of Pittsburgh.
-
C.
James Township
James Township is a small rural municipality located within Ontario’s Timiskaming District in Canada.
-
D.
Marter Township
Marter Township is a small rural community located within Ontario's Timiskaming District in Canada.
-
E.
Martin Township
Martin Township is a small civil township located within Allegan County in the U.S. state of Michigan.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea791fec8190aee56ab4503770be |
completed | March 27, 2026, 8:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3a2ba748190890c2980ca4a8ecd |
completed | March 28, 2026, 1:12 p.m. |
Created at: March 27, 2026, 2:56 p.m.