Triple

T11873979
Position Surface form Disambiguated ID Type / Status
Subject Federal Ministry of Labour and Social Affairs of Germany E282476 entity
Predicate shortName P43 FINISHED
Object BMAS
BMAS is the German federal government ministry responsible for labor market policy, employment regulation, and social welfare systems.
 E950643 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: BMAS | Statement: [Federal Ministry of Labour and Social Affairs of Germany, shortName, BMAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMAS
Context triple: [Federal Ministry of Labour and Social Affairs of Germany, shortName, BMAS]
  • A. BAM
    BAM is a renowned multi-arts center in Brooklyn, New York, known for its innovative programming in theater, dance, music, opera, and film.
  • B. BAM
    BAM is the three-letter ISO 4217 currency code for the Bosnia and Herzegovina convertible mark, the official currency of Bosnia and Herzegovina.
  • C. BAM
    BAM is a contemporary art museum in Boise, Idaho, known for its rotating exhibitions, educational programs, and regional art collections.
  • D. BAM
    BAM is the Badminton Association of Malaysia, the national governing body responsible for overseeing and developing badminton in Malaysia.
  • E. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • 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: BMAS
Triple: [Federal Ministry of Labour and Social Affairs of Germany, shortName, BMAS]
Generated description
BMAS is the German federal government ministry responsible for labor market policy, employment regulation, and social welfare systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMAS
Target entity description: BMAS is the German federal government ministry responsible for labor market policy, employment regulation, and social welfare systems.
  • A. BAM
    BAM is a renowned multi-arts center in Brooklyn, New York, known for its innovative programming in theater, dance, music, opera, and film.
  • B. BAM
    BAM is the three-letter ISO 4217 currency code for the Bosnia and Herzegovina convertible mark, the official currency of Bosnia and Herzegovina.
  • C. BAM
    BAM is a contemporary art museum in Boise, Idaho, known for its rotating exhibitions, educational programs, and regional art collections.
  • D. BAM
    BAM is the Badminton Association of Malaysia, the national governing body responsible for overseeing and developing badminton in Malaysia.
  • E. BM
    BM is the post-nominal abbreviation used to denote recipients of the Bravery Medal, an Australian award for acts of courage.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1a22448190bd0722188c14d7bd completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281bcd4f88190bb2103a165cb9578 completed April 29, 2026, 10:10 p.m.
NEDg Description generation batch_69f28a9378348190866e38259cc9467e completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28c5f7638819098aa93aa1610ca0a completed April 29, 2026, 10:55 p.m.
Created at: April 8, 2026, 9:43 p.m.