Triple
T10986077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quebec Autoroute 73 |
E259632
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Saint-Georges |
E755270
|
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-Georges | Statement: [Quebec Autoroute 73, passesThrough, Saint-Georges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Georges Context triple: [Quebec Autoroute 73, passesThrough, Saint-Georges]
-
A.
Saint-Georges
chosen
Saint-Georges is a city in the Beauce region of Quebec, Canada, known as a regional economic center with a strong manufacturing base and scenic riverside setting.
-
B.
Saint-Gilles-Croix-de-Vie
Saint-Gilles-Croix-de-Vie is a coastal commune and popular seaside resort on the Atlantic coast in the Vendée department of western France.
-
C.
Saint-Brais
Saint-Brais is a small rural municipality in the canton of Jura in northwestern Switzerland, situated in the Franches-Montagnes district.
-
D.
Saint-Cyriens
Saint-Cyriens are the officer cadets and alumni of France’s prestigious École spéciale militaire de Saint-Cyr, renowned as the country’s foremost military academy.
-
E.
Villeneuve-Saint-Georges
Villeneuve-Saint-Georges is a suburban commune in the southeastern outskirts of Paris, France, known for its major railway junction and diverse residential neighborhoods.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b2e4a88190a81504eee77e2298 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9644ff08190a3005e4f6a8243fe |
completed | April 18, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:24 p.m.