Triple

T10137151
Position Surface form Disambiguated ID Type / Status
Subject General German Workers' Association E226888 entity
Predicate shortName P43 FINISHED
Object ADAV
ADAV was the abbreviation for the General German Workers' Association, one of the first major socialist workers' parties in 19th-century Germany.
E843332 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: ADAV | Statement: [General German Workers' Association, shortName, ADAV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ADAV
Context triple: [General German Workers' Association, shortName, ADAV]
  • A. DAV
    DAV is the IATA airport code for Enrique Malek International Airport in David, Panama.
  • B. DAV
    DAV is the station code used to identify Davisville station in the Toronto subway system.
  • C. AVIDAC
    AVIDAC was an early vacuum tube-based digital computer developed in the mid-20th century, reflecting design principles pioneered by the IAS machine.
  • D. ADW
    ADW is the National Rail station code for Addiewell railway station in West Lothian, Scotland.
  • E. AdE
    AdE is the commonly used abbreviation for the Italian Revenue Agency, the government body responsible for tax collection and enforcement in Italy.
  • 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: ADAV
Triple: [General German Workers' Association, shortName, ADAV]
Generated description
ADAV was the abbreviation for the General German Workers' Association, one of the first major socialist workers' parties in 19th-century Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ADAV
Target entity description: ADAV was the abbreviation for the General German Workers' Association, one of the first major socialist workers' parties in 19th-century Germany.
  • A. DAV
    DAV is the IATA airport code for Enrique Malek International Airport in David, Panama.
  • B. DAV
    DAV is the station code used to identify Davisville station in the Toronto subway system.
  • C. AVIDAC
    AVIDAC was an early vacuum tube-based digital computer developed in the mid-20th century, reflecting design principles pioneered by the IAS machine.
  • D. ADW
    ADW is the National Rail station code for Addiewell railway station in West Lothian, Scotland.
  • E. AdE
    AdE is the commonly used abbreviation for the Italian Revenue Agency, the government body responsible for tax collection and enforcement in Italy.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde881a2188190a5e519b90a1b910b completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5ee7b6081909f5c08583a619308 completed April 5, 2026, 10:45 p.m.
NEDg Description generation batch_69d2e73e4d5081909f0068d3bed583d3 completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7eea4d88190a2ec6d22a83934b3 completed April 5, 2026, 10:53 p.m.
Created at: March 30, 2026, 9:06 p.m.