Triple
T16533173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RegionalBahn |
E401617
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
RB
RB is a common train service designation in German-speaking countries referring to RegionalBahn, which operates short- to medium-distance regional passenger rail services with frequent stops.
|
E1217621
|
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: RB | Statement: [RegionalBahn, abbreviation, RB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RB Context triple: [RegionalBahn, abbreviation, RB]
-
A.
RB
RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
-
B.
RB
RB is the standard abbreviation for *Revue Biblique*, a scholarly journal specializing in biblical studies and related research.
-
C.
RK
RK is the vehicle registration code used for motor vehicles registered in the Rychnov nad Kněžnou District of the Czech Republic.
-
D.
RK
RK is the station code for Rockwell station, a transit stop identified by this abbreviation.
-
E.
RK
RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
- 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: RB Triple: [RegionalBahn, abbreviation, RB]
Generated description
RB is a common train service designation in German-speaking countries referring to RegionalBahn, which operates short- to medium-distance regional passenger rail services with frequent stops.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RB Target entity description: RB is a common train service designation in German-speaking countries referring to RegionalBahn, which operates short- to medium-distance regional passenger rail services with frequent stops.
-
A.
RB
RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
-
B.
RB
RB is the standard abbreviation for *Revue Biblique*, a scholarly journal specializing in biblical studies and related research.
-
C.
RK
RK is the vehicle registration code used for motor vehicles registered in the Rychnov nad Kněžnou District of the Czech Republic.
-
D.
RK
RK is the regional vehicle registration code used on car license plates issued in Krosno, a city in southeastern Poland.
-
E.
RK
RK is the station code for Rockwell station, a transit stop identified by this abbreviation.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed97b0881909de106418aca8180 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006093244081909ae74674de966d6d |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a00615d3edc81909f0eb3e6210d00ee |
completed | May 10, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0062128a388190beb52fa173ed7826 |
completed | May 10, 2026, 10:46 a.m. |
Created at: April 10, 2026, 5:15 a.m.