Triple
T16394451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autoroute 15 |
E398142
|
entity |
| Predicate | connectsTo |
P845
|
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: [Autoroute 15, connectsTo, Saint-Jérôme]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Jérôme Context triple: [Autoroute 15, connectsTo, 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.
Draveil
Draveil is a suburban commune in the southern Île-de-France region of France, located near Paris along the Seine River.
-
E.
Montréjeau
Montréjeau is a small commune in southwestern France, located in the Haute-Garonne department in the Occitanie region.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3264538e4819082442d254accf392 |
completed | April 18, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c58280081908e4d73a75b09dbb8 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:08 a.m.