Triple
T32405678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laval, Quebec |
E828070
|
entity |
| Predicate | connectedByMetro |
P3791
|
FINISHED |
| Object | Montreal Metro Orange Line |
—
|
NE NERFINISHED |
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: Montreal Metro Orange Line | Statement: [Laval, Quebec, connectedByMetro, Montreal Metro Orange Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectedByMetro Context triple: [Laval, Quebec, connectedByMetro, Montreal Metro Orange Line]
-
A.
hasMetroTerminus
Indicates that one location serves as the terminal (end) station of a metro line for another location.
-
B.
hasMetropolitanConnectionWith
Indicates that there is a significant relationship or linkage between two entities based on shared or interacting metropolitan areas, such as through infrastructure, services, or regional integration.
-
C.
hasPublicTransportConnection
chosen
Indicates that there is an available public transportation link or service connecting the related entities.
-
D.
relationToMetrotram
Indicates a spatial or functional relationship between something and a metro or tram system, such as proximity, connection, or relevance to it.
-
E.
connectsMetroAreas
Indicates a relationship where a transportation route or service links two or more metropolitan areas, enabling direct travel or interaction between them.
- 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_69f34919342c8190a4c3bf35a90d4e58 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
Created at: May 1, 2026, 12:53 a.m.