Triple
T6888853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelee Township |
E158993
|
entity |
| Predicate | encompasses |
P1393
|
FINISHED |
| Object | Middle Island |
E475835
|
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: Middle Island | Statement: [Pelee Township, encompasses, Middle Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Middle Island Context triple: [Pelee Township, encompasses, Middle Island]
-
A.
Middle Island
Middle Island is one of the small, remote islands in the Tristan da Cunha archipelago in the South Atlantic Ocean.
-
B.
Middle Island
chosen
Middle Island is a small Canadian island in Lake Erie known as the southernmost point of land in Canada.
-
C.
Middle Island
Middle Island is a small island located within Sitka Sound off the coast of Sitka, Alaska, known for its forested landscape and marine wildlife.
-
D.
Barron Island
Barron Island is a small island located within Van Diemen Gulf off the northern coast of Australia in the Northern Territory.
-
E.
Marsh Island
Marsh Island is a small, marshy island in Seattle’s Lake Washington, known for its wetlands and bird habitat along the Arboretum Waterfront Trail.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d9117c84819093dad7b765337b63 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9129bec8190b3c1471ac8a131ac |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 27, 2026, 2:23 p.m.