Triple
T10684212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arverne |
E251832
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Arverne–By-the-Sea station
Arverne–By-the-Sea station is a New York City Subway station in the Rockaway Peninsula of Queens serving the Arverne by the Sea beachfront community.
|
E878967
|
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: Arverne–By-the-Sea station | Statement: [Arverne, hasStation, Arverne–By-the-Sea station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arverne–By-the-Sea station Context triple: [Arverne, hasStation, Arverne–By-the-Sea station]
-
A.
Cyrville station
Cyrville station is a light-rail transit stop in Ottawa, Ontario, serving the city's Confederation Line.
-
B.
Olivais station
Olivais station is a Lisbon Metro stop serving the Olivais neighborhood on the system’s Red Line.
-
C.
Nice-Ville station
Nice-Ville station is the main railway station in Nice, France, serving as a major hub for regional and long-distance train services along the French Riviera.
-
D.
Vaneau station
Vaneau station is a Paris Métro stop in the 7th and 6th arrondissements, serving the residential and institutional Left Bank area near Invalides and several ministries.
-
E.
Loria station
Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
- 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: Arverne–By-the-Sea station Triple: [Arverne, hasStation, Arverne–By-the-Sea station]
Generated description
Arverne–By-the-Sea station is a New York City Subway station in the Rockaway Peninsula of Queens serving the Arverne by the Sea beachfront community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arverne–By-the-Sea station Target entity description: Arverne–By-the-Sea station is a New York City Subway station in the Rockaway Peninsula of Queens serving the Arverne by the Sea beachfront community.
-
A.
Cyrville station
Cyrville station is a light-rail transit stop in Ottawa, Ontario, serving the city's Confederation Line.
-
B.
Olivais station
Olivais station is a Lisbon Metro stop serving the Olivais neighborhood on the system’s Red Line.
-
C.
Nice-Ville station
Nice-Ville station is the main railway station in Nice, France, serving as a major hub for regional and long-distance train services along the French Riviera.
-
D.
Vaneau station
Vaneau station is a Paris Métro stop in the 7th and 6th arrondissements, serving the residential and institutional Left Bank area near Invalides and several ministries.
-
E.
Loria station
Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc5134c8190bcb1d96a32634c17 |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9888cf7b481909de6a4fecb48cf4b |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aeb82988190a17b009c74279423 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c2aae048190b348e5614ff23f03 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:10 p.m.