Triple
T17318161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Line (Montreal Metro) |
E420483
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Parc station
Parc station is a Montreal Metro station in the Parc-Extension area that serves the Blue Line and connects with commuter rail services.
|
E1276834
|
NE FINISHED |
How this triple was built (4 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: Parc station | Statement: [Blue Line (Montreal Metro), hasStation, Parc station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parc station Context triple: [Blue Line (Montreal Metro), hasStation, Parc station]
-
A.
Beaurepaire station
Beaurepaire station is a commuter rail station serving the Beaurepaire area of Beaconsfield, a suburb on the Island of Montreal in Quebec, Canada.
-
B.
Raspail station
Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
-
C.
Saint-Just station
Saint-Just station is a terminal stop on Lyon’s historic funicular network, serving the Saint-Just neighborhood in the city’s Fourvière area.
-
D.
Vaucelles station
Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
-
E.
Henri Fréville station
Henri Fréville station is a metro stop on the Rennes Metro network in Rennes, France, serving the surrounding urban area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Parc station Triple: [Blue Line (Montreal Metro), hasStation, Parc station]
Generated description
Parc station is a Montreal Metro station in the Parc-Extension area that serves the Blue Line and connects with commuter rail services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parc station Target entity description: Parc station is a Montreal Metro station in the Parc-Extension area that serves the Blue Line and connects with commuter rail services.
-
A.
Beaurepaire station
Beaurepaire station is a commuter rail station serving the Beaurepaire area of Beaconsfield, a suburb on the Island of Montreal in Quebec, Canada.
-
B.
Raspail station
Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
-
C.
Saint-Just station
Saint-Just station is a terminal stop on Lyon’s historic funicular network, serving the Saint-Just neighborhood in the city’s Fourvière area.
-
D.
Vaucelles station
Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
-
E.
Henri Fréville station
Henri Fréville station is a metro stop on the Rennes Metro network in Rennes, France, serving the surrounding urban area.
- F. None of above. chosen
Provenance (5 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_6a01ddd1fc008190b12be8c71a6127df |
completed | May 11, 2026, 1:46 p.m. |
| NEDg | Description generation | batch_6a01dfcb18cc8190bec7a36e886b5a4c |
completed | May 11, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01e02a5d9481909cd957c14a4eff3b |
completed | May 11, 2026, 1:56 p.m. |
Created at: April 10, 2026, 5:43 a.m.