Triple
T18349046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivière du Nord |
E439615
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Saint-Colomban |
E1210023
|
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: Saint-Colomban | Statement: [Rivière du Nord, flowsThrough, Saint-Colomban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Colomban Context triple: [Rivière du Nord, flowsThrough, Saint-Colomban]
-
A.
Saint-Colomban
chosen
Saint-Colomban is a small semi-rural municipality in the Laurentides region of Quebec, Canada, known for its residential communities and natural surroundings.
-
B.
Saint Rémi
Saint Rémi is a 5th–6th century bishop of Reims best known for baptizing Clovis I, a pivotal event in the Christianization of the Frankish kingdom.
-
C.
Saint Mammes
Saint Mammes is a 3rd-century Christian martyr and shepherd saint venerated especially in the Eastern Church and associated with numerous churches and cathedrals across Europe.
-
D.
Saint-Cyprien
Saint-Cyprien is a coastal commune in southern France known for its Mediterranean beaches and marina.
-
E.
Saint-Apollinaire
Saint-Apollinaire is a commune in the Côte-d'Or department of eastern France, located near Dijon and known for its commercial and industrial zones.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f66a4c8190a0ba53d3b349178a |
completed | April 19, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc28b80c8190819b989478bb62bd |
completed | May 13, 2026, 12:56 a.m. |
Created at: April 10, 2026, 10:37 a.m.