Triple
T16942463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natieplein |
E410979
|
entity |
| Predicate | hasRERStation |
P918
|
FINISHED |
| Object | Nation (RER) |
E832493
|
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: Nation (RER) | Statement: [Natieplein, hasRERStation, Nation (RER)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nation (RER) Context triple: [Natieplein, hasRERStation, Nation (RER)]
-
A.
Nation (RER)
chosen
Nation (RER) is a major Paris RER station and transport hub located at Place de la Nation in the 11th and 12th arrondissements.
-
B.
RER network
The RER network is a rapid transit system of express suburban trains serving Paris and its surrounding metropolitan area, integrating both urban and regional rail services.
-
C.
RER E
RER E is a line of the Paris express suburban rail network (Réseau Express Régional) serving eastern suburbs and connecting them to central Paris.
-
D.
RER NG
RER NG is a new-generation double-deck electric multiple unit train designed for Île-de-France’s RER network, offering higher capacity, improved accessibility, and enhanced passenger comfort.
-
E.
RER D
RER D is one of the main lines of the Paris regional express network (RER), connecting northern and southern suburbs through central Paris.
- 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: hasRERStation Context triple: [Natieplein, hasRERStation, Nation (RER)]
-
A.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
B.
hasRailwayStation
chosen
Indicates that a place or location is served by, or contains, a railway station.
-
C.
connectsToRailStation
Indicates that one entity has a direct link, route, or access connection to a rail station.
-
D.
hasHighSpeedRailStation
Indicates that a location is served by a high-speed rail station where high-speed trains regularly stop.
-
E.
hasBusStation
Indicates that a place or area contains or is served by a bus station.
- F. None of above.
Provenance (4 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cfafc8448190a25be8ada84eff9c |
completed | April 18, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d45e64d881909da963825d2eea98 |
completed | May 10, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e32b9aa8748190b248890aca86753d |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:31 a.m.