Triple

T5154388
Position Surface form Disambiguated ID Type / Status
Subject Schweizerische Centralbahn E116273 entity
Predicate shortName P43 FINISHED
Object SCB
SCB was a 19th-century Swiss railway company that played a key role in developing the country’s early rail network.
 E498459 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: SCB | Statement: [Schweizerische Centralbahn, shortName, SCB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCB
Context triple: [Schweizerische Centralbahn, shortName, SCB]
  • A. SBC
    SBC is a standard Bluetooth audio codec used for wireless transmission of sound between devices such as headphones and smartphones.
  • B. SBC
    SBC is the Indian Railways station code for Krantivira Sangolli Rayanna (Bengaluru) railway station, the main rail hub of Bengaluru, Karnataka.
  • C. SBC
    SBC is a collegiate athletic conference in the NCAA Division I Football Bowl Subdivision, primarily comprising universities from the southern United States.
  • D. SCS
    SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
  • E. SKB
    SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
  • 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: SCB
Triple: [Schweizerische Centralbahn, shortName, SCB]
Generated description
SCB was a 19th-century Swiss railway company that played a key role in developing the country’s early rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCB
Target entity description: SCB was a 19th-century Swiss railway company that played a key role in developing the country’s early rail network.
  • A. SBC
    SBC is a standard Bluetooth audio codec used for wireless transmission of sound between devices such as headphones and smartphones.
  • B. SBC
    SBC is the Indian Railways station code for Krantivira Sangolli Rayanna (Bengaluru) railway station, the main rail hub of Bengaluru, Karnataka.
  • C. SBC
    SBC is a collegiate athletic conference in the NCAA Division I Football Bowl Subdivision, primarily comprising universities from the southern United States.
  • D. SCS
    SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
  • E. SKB
    SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
  • 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_69bd445d94788190b72e2cc563120995 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd78dc329c8190808085c6b3e4241c completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed00e333881908487be6958e5133c completed March 21, 2026, 5:06 p.m.
NEDg Description generation batch_69bed358a1248190b97227404b3f2b31 completed March 21, 2026, 5:20 p.m.
NED2 Entity disambiguation (via description) batch_69bed3c470e48190998cacf9c0b42448 completed March 21, 2026, 5:22 p.m.
Created at: March 20, 2026, 1:44 p.m.