Triple
T21494795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauharnois Canal |
E530322
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Beauharnois |
—
|
NE NERFINISHED |
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: Beauharnois | Statement: [Beauharnois Canal, namedAfter, Beauharnois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beauharnois Context triple: [Beauharnois Canal, namedAfter, Beauharnois]
-
A.
Beauharnois
chosen
Beauharnois is a town in southwestern Quebec, Canada, known for its location along the Saint Lawrence River and the large Beauharnois hydroelectric generating station.
-
B.
Deschambault-Grondines
Deschambault-Grondines is a rural municipality in the Capitale-Nationale region of Quebec, Canada, known for its historic village core along the St. Lawrence River and its agricultural landscape.
-
C.
Beaujeu
Beaujeu is the pseudonym of Jean Monceau, under which he is known in his professional and public activities.
-
D.
Boignée
Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
-
E.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45bd15481909fba5910765cdda2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea575f2c81909cc0607c4b529f8d |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:23 p.m.