Triple
T5428495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CAMTR |
E121423
|
entity |
| Predicate | represents |
P129
|
FINISHED |
| Object | Port of Montreal |
E22236
|
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: Port of Montreal | Statement: [CAMTR, represents, Port of Montreal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Montreal Context triple: [CAMTR, represents, Port of Montreal]
-
A.
Port of Montreal
chosen
The Port of Montreal is a major international shipping hub on the St. Lawrence River that serves as one of Canada’s busiest gateways for container and bulk cargo trade.
-
B.
Port of Quebec
The Port of Quebec is a major Canadian seaport and historic maritime hub located in Quebec City along the Saint Lawrence River.
-
C.
Port of Toronto
The Port of Toronto is a key Canadian inland port on Lake Ontario that handles cargo, cruise ships, and other marine traffic serving the Greater Toronto Area.
-
D.
Port of Saint John
The Port of Saint John is a major Atlantic seaport in New Brunswick, Canada, serving as a key hub for cargo, cruise, and regional maritime trade.
-
E.
Port of Windsor
The Port of Windsor is a key Canadian Great Lakes port on the Detroit River that handles bulk cargo and supports regional industry and cross-border trade.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd881998308190a071af0fe44997bc |
completed | March 20, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ac2e1e88190a624ba277eca3d03 |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.