Triple
T22470047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irving Glassberg |
E555471
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Thunder Bay |
E15925
|
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: Thunder Bay | Statement: [Irving Glassberg, workedOn, Thunder Bay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunder Bay Context triple: [Irving Glassberg, workedOn, Thunder Bay]
-
A.
Thunder Bay
chosen
Thunder Bay is a Canadian city in northwestern Ontario that serves as a key transportation, shipping, and commercial hub on the north shore of Lake Superior.
-
B.
Thunder Bay
Thunder Bay is a bay on Lake Huron in Michigan known for its numerous shipwrecks and the Thunder Bay National Marine Sanctuary.
-
C.
Fort Frances
Fort Frances is a small Canadian town in northwestern Ontario located on the Rainy River along the U.S. border opposite International Falls, Minnesota.
-
D.
Owen Sound
Owen Sound is a small port city on Georgian Bay in southwestern Ontario, Canada, known for its waterfront, regional services, and surrounding natural attractions.
-
E.
Kenora
Kenora is a small city in northwestern Ontario, Canada, located on the shores of Lake of the Woods and known as a popular cottage and outdoor recreation destination.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15bdeae9c8190a5b66e540484db37 |
completed | April 29, 2026, 1:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b2d562cec8190bf43b06d78025e21 |
completed | May 18, 2026, 3:16 p.m. |
Created at: April 16, 2026, 8:48 p.m.