Triple
T17318149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Line (Montreal Metro) |
E420483
|
entity |
| Predicate | fareSystem |
P395
|
FINISHED |
| Object | ARTM |
E1190584
|
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: ARTM | Statement: [Blue Line (Montreal Metro), fareSystem, ARTM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARTM Context triple: [Blue Line (Montreal Metro), fareSystem, ARTM]
-
A.
ARTM
chosen
ARTM is the regional public transit authority responsible for planning, coordinating, and financing metropolitan transportation services in the Greater Montreal area of Quebec, Canada.
-
B.
ARTM A
ARTM A is a central fare zone within the Autorité régionale de transport métropolitain’s public transit system in the Greater Montreal area.
-
C.
ARTF
ARTF is Mexico’s federal regulatory agency responsible for overseeing and regulating the country’s railway transportation system.
-
D.
ARTV
ARTV is a Canadian French-language specialty television channel focused on arts and culture programming.
-
E.
ARTs
ARTs are dual-status civilian and military personnel who provide full-time support to the U.S. Air Force Reserve by maintaining readiness, training, and continuity for reserve units.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399ea7dc8190a0ecab7534fe16c3 |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e8cfd88190a105b778e5b9e864 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.