Triple

T16408748
Position Surface form Disambiguated ID Type / Status
Subject Krefeld E398502 entity
Predicate mayorParty P352 FINISHED
Object SPD E557025 NE FINISHED

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: SPD | Statement: [Krefeld, mayorParty, SPD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SPD
Context triple: [Krefeld, mayorParty, SPD]
  • A. SPD
    SPD (Security Policy Database) is a core IPsec component that stores and enforces security policies determining how network traffic is protected, bypassed, or discarded.
  • B. SPD chosen
    SPD is a major center-left political party in Germany, formally known as the Social Democratic Party of Germany.
  • C. SPD
    SPD is the commonly used abbreviation for the Skokie Park District, the local governmental agency that manages parks, recreation facilities, and community programs in Skokie, Illinois.
  • D. SPD
    SPD is the abbreviation for Pakistan’s Strategic Plans Division, the organization responsible for managing and safeguarding the country’s strategic and nuclear assets.
  • E. SPSG
    SPSG is the abbreviation for the Prussian Palaces and Gardens Foundation Berlin-Brandenburg, a cultural institution responsible for preserving and managing historic palaces, gardens, and art collections in the Berlin-Brandenburg region of Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32870e44c8190aae7bc6e6022ceb7 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c64a05c8190a59e800ce2318052 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:09 a.m.