Triple
T19183120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice-Ville station |
E469626
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Nice main station
Nice main station is the principal railway hub in Nice, France, serving regional and long-distance trains along the French Riviera and beyond.
|
E1362833
|
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: Nice main station | Statement: [Nice-Ville station, alternativeName, Nice main station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nice main station Context triple: [Nice-Ville station, alternativeName, Nice main station]
-
A.
Best railway station
Best railway station is the main passenger rail stop serving the town of Best in the province of North Brabant, Netherlands.
-
B.
Main Terminal Station
Main Terminal Station is the primary AeroTrain stop serving the airport’s central passenger terminal complex.
-
C.
Central Station
Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
-
D.
Central Station
Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
-
E.
Central Station
Central Station is a key elevated stop on Jacksonville’s automated Skyway people mover system in downtown Jacksonville, Florida.
- 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: Nice main station Triple: [Nice-Ville station, alternativeName, Nice main station]
Generated description
Nice main station is the principal railway hub in Nice, France, serving regional and long-distance trains along the French Riviera and beyond.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nice main station Target entity description: Nice main station is the principal railway hub in Nice, France, serving regional and long-distance trains along the French Riviera and beyond.
-
A.
Best railway station
Best railway station is the main passenger rail stop serving the town of Best in the province of North Brabant, Netherlands.
-
B.
Main Terminal Station
Main Terminal Station is the primary AeroTrain stop serving the airport’s central passenger terminal complex.
-
C.
Central Station
Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
-
D.
Central Station
Central Station is a key elevated stop on Jacksonville’s automated Skyway people mover system in downtown Jacksonville, Florida.
-
E.
Central Station
Central Station is Sydney’s largest and busiest railway hub, serving as a major interchange for suburban, intercity, and light rail services.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61e1c248190ba9e220c1be61ef8 |
completed | April 20, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8b6210481908d9c56fc02cf42fb |
completed | May 15, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_6a06f987d3e88190ade6412afd3e1426 |
completed | May 15, 2026, 10:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06fa6c6e5481909beb3a33517264f3 |
completed | May 15, 2026, 10:50 a.m. |
Created at: April 10, 2026, 12:07 p.m.