Triple

T1755216
Position Surface form Disambiguated ID Type / Status
Subject Aérospatiale E38534 entity
Predicate formedByMergerOf P77 FINISHED
Object SEREB
SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
 E196164 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: SEREB | Statement: [Aérospatiale, formedByMergerOf, SEREB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEREB
Context triple: [Aérospatiale, formedByMergerOf, SEREB]
  • A. Serber
    Serber is a surname most notably associated with American physicist Robert Serber, who contributed to the Manhattan Project.
  • B. SEBL
    SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
  • C. SRB
    SRB is the commonly used abbreviation for Sveriges Riksbank, the central bank of Sweden and the world’s oldest central bank.
  • D. SRB
    SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
  • E. Seri
    The Seri are an Indigenous people of northwestern Mexico, traditionally living along the Gulf of California coast and known for their rich maritime culture, distinctive language, and artisanal crafts.
  • 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: SEREB
Triple: [Aérospatiale, formedByMergerOf, SEREB]
Generated description
SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEREB
Target entity description: SEREB was a French aerospace company involved in the development of ballistic missiles and space launch vehicles before being merged into Aérospatiale.
  • A. Serber
    Serber is a surname most notably associated with American physicist Robert Serber, who contributed to the Manhattan Project.
  • B. SEBL
    SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
  • C. SRB
    SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
  • D. SRB
    SRB is the commonly used abbreviation for Sveriges Riksbank, the central bank of Sweden and the world’s oldest central bank.
  • E. Seri
    The Seri are an Indigenous people of northwestern Mexico, traditionally living along the Gulf of California coast and known for their rich maritime culture, distinctive language, and artisanal crafts.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641841748190ad05cac4a27cced9 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0e84c1c8190917edf14003cba81 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1a401548190af00bae3b89e46b0 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada26804288190838a93b71b494650 completed March 8, 2026, 4:23 p.m.
Created at: March 4, 2026, 7:31 p.m.