Triple
T13575407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montmorency River |
E324267
|
entity |
| Predicate | crossesMunicipality |
P13729
|
FINISHED |
| Object | Boischatel |
E801857
|
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: Boischatel | Statement: [Montmorency River, crossesMunicipality, Boischatel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boischatel Context triple: [Montmorency River, crossesMunicipality, Boischatel]
-
A.
Boischatel
chosen
Boischatel is a small suburban municipality in the Capitale-Nationale region of Quebec, Canada, located just east of Quebec City along the Montmorency River.
-
B.
Châtel
Châtel is a French Alpine village and ski resort in the Haute-Savoie region, known for its traditional mountain charm and inclusion in the Portes du Soleil ski area.
-
C.
Chaumont-Gistoux
Chaumont-Gistoux is a rural municipality in the province of Walloon Brabant in central Belgium, known for its wooded landscapes and residential character.
-
D.
Leschaux
Leschaux is a small commune in the Haute-Savoie department of southeastern France, situated in the Alps near the Semnoz massif.
-
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 (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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02b1f108190a12af382d1de70bb |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac7a1ee88190951de590a4a07d6f |
completed | May 6, 2026, 9:02 p.m. |
Created at: April 9, 2026, 9:48 p.m.