Triple
T4428736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurentides |
E95271
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Saint-Jérôme |
E398144
|
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-Jérôme | Statement: [Laurentides, largestCity, Saint-Jérôme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Jérôme Context triple: [Laurentides, largestCity, Saint-Jérôme]
-
A.
Saint-Jérôme
chosen
Saint-Jérôme is a city in the Laurentides region of Quebec, Canada, known as a regional hub and gateway to the Laurentian Mountains.
-
B.
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.
-
C.
Saint-Jorioz
Saint-Jorioz is a picturesque commune in southeastern France, known for its lakeside setting, beaches, and outdoor recreation in the Alps region.
-
D.
Sainte-Menehould
Sainte-Menehould is a historic commune in northeastern France, noted for its role in the French Revolution as a key stop where the fleeing royal family was recognized during the Flight to Varennes.
-
E.
Trappes
Trappes is a suburban commune in north-central France, located in the Yvelines department within the Île-de-France region near Paris.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35568767c819084d5e18b56a4745e |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb61047c88819080943c2ce62c0ffd |
completed | March 19, 2026, 2:35 a.m. |
Created at: March 12, 2026, 11:30 p.m.