Triple
T28624027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Exo (public transit) |
E724466
|
entity |
| Predicate | operatesRailLines |
P140822
|
FINISHED |
| Object | commuter rail lines in Greater Montreal |
—
|
LITERAL 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: commuter rail lines in Greater Montreal | Statement: [Exo (public transit), operatesRailLines, commuter rail lines in Greater Montreal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesRailLines Context triple: [Exo (public transit), operatesRailLines, commuter rail lines in Greater Montreal]
-
A.
operatesRailNetworkOf
Indicates that one entity manages and runs the rail network belonging to or associated with another entity.
-
B.
operatesRailLinesOnIsland
Indicates that a railway operator runs or manages rail lines located on a specific island.
-
C.
operatesRegionalRailServices
Indicates that an entity manages and runs passenger rail transport services within a specific region or set of regions.
-
D.
numberOfRailLines
Indicates the total count of rail lines associated with or serving a given entity.
-
E.
operatesCommuterRailServices
chosen
Indicates that an entity runs and manages commuter rail transportation services for passengers.
- F. None of above.
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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69feaa483fcc81909d8a46b38a8717bf |
completed | May 9, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69fea8c9d45c81908ccc8619e5fefac1 |
completed | May 9, 2026, 3:23 a.m. |
Created at: April 28, 2026, 4:35 a.m.