Triple
T10574955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodalies de Catalunya |
E249583
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object |
R23
R23 is a regional commuter rail line in Catalonia that forms part of the Rodalies de Catalunya network.
|
E871750
|
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: R23 | Statement: [Rodalies de Catalunya, hasService, R23]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R23 Context triple: [Rodalies de Catalunya, hasService, R23]
-
A.
R230
The R230 is the fifth-generation Mercedes-Benz SL-Class, a luxury two-seat roadster produced in the 2000s known for its retractable hardtop and advanced technology features.
-
B.
R232
R232 is the internal designation for the latest generation of the Mercedes-Benz SL, a luxury roadster combining high performance with advanced technology and premium comfort.
-
C.
R3
R3 is one of the general-purpose registers in the PDP-11 minicomputer architecture, used for arithmetic, logical operations, and addressing.
-
D.
R32
The R32 is a high-performance, all-wheel-drive variant of the Volkswagen Golf Mk4 featuring a powerful VR6 engine and sport-tuned components.
-
E.
R29
R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
- 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: R23 Triple: [Rodalies de Catalunya, hasService, R23]
Generated description
R23 is a regional commuter rail line in Catalonia that forms part of the Rodalies de Catalunya network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R23 Target entity description: R23 is a regional commuter rail line in Catalonia that forms part of the Rodalies de Catalunya network.
-
A.
R230
The R230 is the fifth-generation Mercedes-Benz SL-Class, a luxury two-seat roadster produced in the 2000s known for its retractable hardtop and advanced technology features.
-
B.
R232
R232 is the internal designation for the latest generation of the Mercedes-Benz SL, a luxury roadster combining high performance with advanced technology and premium comfort.
-
C.
R3
R3 is one of the general-purpose registers in the PDP-11 minicomputer architecture, used for arithmetic, logical operations, and addressing.
-
D.
R32
The R32 is a high-performance, all-wheel-drive variant of the Volkswagen Golf Mk4 featuring a powerful VR6 engine and sport-tuned components.
-
E.
R29
R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52749dda08190b0c9627a931c5848 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b5d89748190bb398943e4a16e9b |
completed | April 10, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69d94e1502108190a81bfa1d5a425e5a |
completed | April 10, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d94f0bb6888190b4038df6dcd96d33 |
completed | April 10, 2026, 7:27 p.m. |
Created at: April 6, 2026, 12:38 p.m.