Triple

T8476496
Position Surface form Disambiguated ID Type / Status
Subject Leipzig Hauptbahnhof E200406 entity
Predicate fareZone P844 FINISHED
Object MDV
MDV is a regional public transport association and fare network serving Leipzig and the surrounding Central German area.
 E735554 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: MDV | Statement: [Leipzig Hauptbahnhof, fareZone, MDV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MDV
Context triple: [Leipzig Hauptbahnhof, fareZone, MDV]
  • A. MDV
    MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
  • B. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • C. MDW
    MDW is the IATA airport code for Chicago Midway International Airport, a major commercial airport serving the Chicago metropolitan area in Illinois, USA.
  • D. MHV
    MHV is the IATA airport code for Mojave Air and Space Port, a well-known aerospace testing and flight facility in Mojave, California.
  • E. MDE
    MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
  • 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: MDV
Triple: [Leipzig Hauptbahnhof, fareZone, MDV]
Generated description
MDV is a regional public transport association and fare network serving Leipzig and the surrounding Central German area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MDV
Target entity description: MDV is a regional public transport association and fare network serving Leipzig and the surrounding Central German area.
  • A. MDV
    MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
  • B. MDC
    MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
  • C. MDW
    MDW is the IATA airport code for Chicago Midway International Airport, a major commercial airport serving the Chicago metropolitan area in Illinois, USA.
  • D. MHV
    MHV is the IATA airport code for Mojave Air and Space Port, a well-known aerospace testing and flight facility in Mojave, California.
  • E. MDE
    MDE is the state agency in Maryland responsible for protecting and restoring the environment and public health through regulation, monitoring, and enforcement of environmental laws.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe51e21548190811e3c7ba7b196e5 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a196ad48190b3887a2a0c43f87f completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3b1f6f7c8190927b5e2684ae207b completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3b9d38e081909be10cb209b15427 completed April 2, 2026, 9:49 a.m.
Created at: March 30, 2026, 6:12 p.m.