Triple
T17283735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delson |
E419597
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Delson station
Delson station is a commuter rail station in Delson, Quebec, serving the Exo suburban rail network in the Greater Montreal area.
|
E1260268
|
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: Delson station | Statement: [Delson, namedAfter, Delson station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delson station Context triple: [Delson, namedAfter, Delson station]
-
A.
Cyrville station
Cyrville station is a light-rail transit stop in Ottawa, Ontario, serving the city's Confederation Line.
-
B.
La Estrella station
La Estrella station is the southern terminal station of Line A of the Medellín Metro system in Colombia.
-
C.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
D.
Tavros station
Tavros station is an Athens Metro railway station serving the Tavros district in the Athens metropolitan area of Greece.
-
E.
Divisadero station
Divisadero station is a scenic stop on Mexico’s Ferrocarril Chihuahua al Pacífico (El Chepe) railway, known for its dramatic viewpoints over the Copper Canyon.
- 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: Delson station Triple: [Delson, namedAfter, Delson station]
Generated description
Delson station is a commuter rail station in Delson, Quebec, serving the Exo suburban rail network in the Greater Montreal area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Delson station Target entity description: Delson station is a commuter rail station in Delson, Quebec, serving the Exo suburban rail network in the Greater Montreal area.
-
A.
Cyrville station
Cyrville station is a light-rail transit stop in Ottawa, Ontario, serving the city's Confederation Line.
-
B.
La Estrella station
La Estrella station is the southern terminal station of Line A of the Medellín Metro system in Colombia.
-
C.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
D.
Tavros station
Tavros station is an Athens Metro railway station serving the Tavros district in the Athens metropolitan area of Greece.
-
E.
Divisadero station
Divisadero station is a scenic stop on Mexico’s Ferrocarril Chihuahua al Pacífico (El Chepe) railway, known for its dramatic viewpoints over the Copper Canyon.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332bd324819080795152293d6d43 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0179535ae08190ac0137d0f8741919 |
completed | May 11, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a0179e161808190b4d865e6e281489c |
completed | May 11, 2026, 6:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017aaf88a48190a85b9a3d7ff30b97 |
completed | May 11, 2026, 6:43 a.m. |
Created at: April 10, 2026, 5:40 a.m.