Triple

T11904345
Position Surface form Disambiguated ID Type / Status
Subject Stuttgart Stadtbahn E283234 entity
Predicate hasRollingStock P1305 FINISHED
Object DT 8.4
DT 8.4 is a type of light rail vehicle used on the Stuttgart Stadtbahn urban transit network in Germany.
E953848 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: DT 8.4 | Statement: [Stuttgart Stadtbahn, hasRollingStock, DT 8.4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DT 8.4
Context triple: [Stuttgart Stadtbahn, hasRollingStock, DT 8.4]
  • A. DT 8
    DT 8 is a type of light rail vehicle used on the Stuttgart Stadtbahn system in Germany.
  • B. DT 8.10
    DT 8.10 is a type of light rail vehicle used in the Stuttgart Stadtbahn system in Germany.
  • C. DT 8.12
    DT 8.12 is a type of light rail vehicle used on the Stuttgart Stadtbahn system in Germany.
  • D. D8
    D8 is the commonly used abbreviation for California Department of Transportation's District 8, which oversees state highways and transportation infrastructure in parts of Southern California.
  • E. DTR 8
    DTR 8 is a section of the UK Financial Conduct Authority’s Disclosure Guidance and Transparency Rules that sets out requirements for major shareholding notifications and related transparency obligations for issuers and investors.
  • 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: DT 8.4
Triple: [Stuttgart Stadtbahn, hasRollingStock, DT 8.4]
Generated description
DT 8.4 is a type of light rail vehicle used on the Stuttgart Stadtbahn urban transit network in Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DT 8.4
Target entity description: DT 8.4 is a type of light rail vehicle used on the Stuttgart Stadtbahn urban transit network in Germany.
  • A. DT 8 chosen
    DT 8 is a type of light rail vehicle used on the Stuttgart Stadtbahn system in Germany.
  • B. DT 8.10
    DT 8.10 is a type of light rail vehicle used in the Stuttgart Stadtbahn system in Germany.
  • C. DT 8.12
    DT 8.12 is a type of light rail vehicle used on the Stuttgart Stadtbahn system in Germany.
  • D. D8
    D8 is the commonly used abbreviation for California Department of Transportation's District 8, which oversees state highways and transportation infrastructure in parts of Southern California.
  • E. DTR 8
    DTR 8 is a section of the UK Financial Conduct Authority’s Disclosure Guidance and Transparency Rules that sets out requirements for major shareholding notifications and related transparency obligations for issuers and investors.
  • F. None of above.

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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e525460c81909d855048d9c799bf completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f44004b454819091b41bac99895106 completed May 1, 2026, 5:54 a.m.
NEDg Description generation batch_69f448fa8eec81909fe6ac0902f46998 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44aef15148190ba8090681b921ffa completed May 1, 2026, 6:40 a.m.
Created at: April 8, 2026, 9:44 p.m.