Triple

T4234210
Position Surface form Disambiguated ID Type / Status
Subject Eintracht Frankfurt E94652 entity
Predicate nickname P55 FINISHED
Object SGE
SGE is a common abbreviation and nickname for Eintracht Frankfurt, a professional football club based in Frankfurt, Germany.
 E422436 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: SGE | Statement: [Eintracht Frankfurt, nickname, SGE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGE
Context triple: [Eintracht Frankfurt, nickname, SGE]
  • A. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • B. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • C. GSFS
    GSFS is the commonly used abbreviation for the Graduate School of Frontier Sciences, an interdisciplinary graduate school focused on advanced and emerging scientific fields.
  • D. SRG
    SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
  • E. SG
    SG is the Secretariat-General of the European Commission, the central administrative body that supports the Commission’s work, coordination, and decision-making processes.
  • 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: SGE
Triple: [Eintracht Frankfurt, nickname, SGE]
Generated description
SGE is a common abbreviation and nickname for Eintracht Frankfurt, a professional football club based in Frankfurt, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGE
Target entity description: SGE is a common abbreviation and nickname for Eintracht Frankfurt, a professional football club based in Frankfurt, Germany.
  • A. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • B. SGN
    SGN is the IATA airport code for Tan Son Nhat International Airport, the main international gateway serving Ho Chi Minh City, Vietnam.
  • C. GSFS
    GSFS is the commonly used abbreviation for the Graduate School of Frontier Sciences, an interdisciplinary graduate school focused on advanced and emerging scientific fields.
  • D. SRG
    SRG is the IATA airport code for Jenderal Ahmad Yani International Airport serving Semarang, Indonesia.
  • E. SG
    SG is a postcode area in the United Kingdom covering parts of Hertfordshire and surrounding regions.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e6705548190b695b3789d713b4a completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5965316588190ac1a963a5ecfcdaa completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596b842648190a6f00c37e23e311f completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b59769936081908c42c0006b6ad9c3 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:05 p.m.