Triple

T18386714
Position Surface form Disambiguated ID Type / Status
Subject SV Darmstadt 98 E446610 entity
Predicate abbreviation P43 FINISHED
Object SVD
SVD is the common abbreviation for SV Darmstadt 98, a German professional football club based in Darmstadt, Hesse.
 E1321016 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: SVD | Statement: [SV Darmstadt 98, abbreviation, SVD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SVD
Context triple: [SV Darmstadt 98, abbreviation, SVD]
  • A. SVD
    SVD is the IATA airport code for Argyle International Airport, the main international gateway to Saint Vincent and the Grenadines in the Caribbean.
  • B. SVD
    SVD is the abbreviation for the Special Victims Division, a specialized police unit that investigates sensitive crimes such as sexual offenses and crimes against vulnerable victims.
  • C. Singular value decomposition
    Singular value decomposition is a fundamental matrix factorization technique that expresses a matrix as the product of two orthogonal (or unitary) matrices and a diagonal matrix of singular values, widely used in numerical analysis, data compression, and dimensionality reduction.
  • D. Golub–Kahan SVD algorithm
    The Golub–Kahan SVD algorithm is a numerical method for computing the singular value decomposition of a matrix by first reducing it to bidiagonal form and then iteratively refining its singular values and vectors.
  • E. sva
    sva is the ISO 639-3 code for the Svan language, a Kartvelian language spoken by the Svan people in the Svaneti region of northwestern Georgia.
  • 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: SVD
Triple: [SV Darmstadt 98, abbreviation, SVD]
Generated description
SVD is the common abbreviation for SV Darmstadt 98, a German professional football club based in Darmstadt, Hesse.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SVD
Target entity description: SVD is the common abbreviation for SV Darmstadt 98, a German professional football club based in Darmstadt, Hesse.
  • A. SVD
    SVD is the abbreviation for the Special Victims Division, a specialized police unit that investigates sensitive crimes such as sexual offenses and crimes against vulnerable victims.
  • B. SVD
    SVD is the IATA airport code for Argyle International Airport, the main international gateway to Saint Vincent and the Grenadines in the Caribbean.
  • C. Singular value decomposition
    Singular value decomposition is a fundamental matrix factorization technique that expresses a matrix as the product of two orthogonal (or unitary) matrices and a diagonal matrix of singular values, widely used in numerical analysis, data compression, and dimensionality reduction.
  • D. Golub–Kahan SVD algorithm
    The Golub–Kahan SVD algorithm is a numerical method for computing the singular value decomposition of a matrix by first reducing it to bidiagonal form and then iteratively refining its singular values and vectors.
  • E. sva
    sva is the ISO 639-3 code for the Svan language, a Kartvelian language spoken by the Svan people in the Svaneti region of northwestern Georgia.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e517a00c608190a8f0010c7b53df90 completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d784b3008190b84905ed433d846d completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d8512d4c8190b113f7ed1f8a044c completed May 13, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_6a03d8d863cc819098b46d5d26db05cd completed May 13, 2026, 1:50 a.m.
Created at: April 10, 2026, 10:46 a.m.