Triple
T2533246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 18th arrondissement of Paris |
E56209
|
entity |
| Predicate | hasMetroStations |
P39430
|
FINISHED |
| Object | Anvers |
E32042
|
NE FINISHED |
How this triple was built (3 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: Anvers | Statement: [18th arrondissement of Paris, hasMetroStations, Anvers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anvers Context triple: [18th arrondissement of Paris, hasMetroStations, Anvers]
-
A.
Antwerp
chosen
Antwerp is a major Belgian port city on the River Scheldt, renowned as a global center for the diamond trade and its historic Flemish art and architecture.
-
B.
Ghent
Ghent is a historic city in the Flemish region of Belgium, known for its medieval architecture, canals, and role as a major cultural and economic center in the Middle Ages.
-
C.
Bruges
Bruges is a historic Belgian city renowned for its well-preserved medieval architecture, picturesque canals, and rich artistic heritage.
-
D.
Ostend
Ostend is a Belgian coastal city on the North Sea known for its beaches, port, and seaside tourism.
-
E.
Namur
Namur is a historic Belgian city and the capital of Wallonia, located at the confluence of the Meuse and Sambre rivers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetroStations Context triple: [18th arrondissement of Paris, hasMetroStations, Anvers]
-
A.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
B.
hasArchitecturallySignificantStations
Indicates that an entity includes or is associated with stations that are notable or important from an architectural standpoint.
-
C.
hasEndpointStation
Indicates that something (such as a route, line, or service) has a specific station as one of its terminal endpoints.
-
D.
hasMetropolitan
Indicates that an entity is associated with, served by, or located within a specific metropolitan area.
-
E.
hasTransportHub
Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd27afe7c8190984e10d3f3d5586b |
completed | March 7, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af839849288190a6ddf488f3f69203 |
completed | March 10, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd18e72a88190bdcf12b326d42fad |
completed | March 7, 2026, 7:19 a.m. |
Created at: March 6, 2026, 9:47 p.m.