Triple

T18205021
Position Surface form Disambiguated ID Type / Status
Subject LayoutLM E435880 entity
Predicate introducedAt P3297 FINISHED
Object KDD 2020 NE NERFINISHED

How this triple was built (2 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: KDD 2020 | Statement: [LayoutLM, introducedAt, KDD 2020]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KDD 2020
Context triple: [LayoutLM, introducedAt, KDD 2020]
  • A. KDD
    KDD is the commonly used abbreviation for Norway’s Ministry of Local Government and Regional Development, a government body responsible for municipal affairs, regional policy, and housing.
  • B. SIGKDD chosen
    SIGKDD is the ACM Special Interest Group on Knowledge Discovery and Data Mining, best known for its flagship KDD conference and contributions to data mining and machine learning research.
  • C. IEEE International Conference on Data Mining
    The IEEE International Conference on Data Mining is a leading annual research conference that focuses on advances in data mining, machine learning, and knowledge discovery in databases.
  • D. KDDC
    KDDC is the ICAO airport code for Dodge City Regional Airport, a public airport serving Dodge City, Kansas.
  • E. ACM SIGKDD Test of Time Award
    The ACM SIGKDD Test of Time Award is a prestigious honor in data mining and knowledge discovery that recognizes research papers whose long-term impact has significantly shaped the field.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.