Triple
T5158100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juvisy-sur-Orge |
E116363
|
entity |
| Predicate | railwayStationServedBy |
P34369
|
FINISHED |
| Object | RER line C |
E13072
|
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: RER line C | Statement: [Juvisy-sur-Orge, railwayStationServedBy, RER line C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RER line C Context triple: [Juvisy-sur-Orge, railwayStationServedBy, RER line C]
-
A.
RER line E
RER line E is a Paris regional express railway line connecting central Paris with eastern suburbs such as Gagny.
-
B.
RER B line
The RER B line is a major Paris regional express railway line that connects central Paris with key northern and southern suburbs, including Charles de Gaulle Airport.
-
C.
RER C
chosen
RER C is a major line of the Paris regional express rail network that connects central Paris with several suburbs and key destinations, including access to Orly Airport.
-
D.
RER Vaud
RER Vaud is a regional express rail network in the canton of Vaud, Switzerland, providing frequent commuter and regional train services connecting local towns and cities.
-
E.
RER A
RER A is one of the main lines of the Paris regional express network, carrying large volumes of commuters and travelers between central Paris and its suburbs.
- 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: railwayStationServedBy Context triple: [Juvisy-sur-Orge, railwayStationServedBy, RER line C]
-
A.
railwayStationFor
Indicates a relationship where a railway station serves, is designated for, or primarily associated with a particular place, line, or service.
-
B.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
C.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
-
D.
railwayTypeServed
Indicates the type of railway system or service that a given entity (such as a station, line, or facility) is designed to serve or accommodate.
-
E.
railwayStationOnLine
chosen
Indicates that a particular railway station is located on and served by a specified railway line.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c1354c81908176703b4853c1a4 |
completed | March 20, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf8bc2fa4c8190b2c62f30ba46a8b9 |
completed | March 22, 2026, 6:27 a.m. |
| PD | Predicate disambiguation | batch_69bd77b0fbb88190851e2d7ae1bdcc09 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:44 p.m.