Triple

T20729986
Position Surface form Disambiguated ID Type / Status
Subject APDPDEI E509547 entity
Predicate acronym P43 FINISHED
Object APDPDEI 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: APDPDEI | Statement: [APDPDEI, acronym, APDPDEI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APDPDEI
Context triple: [APDPDEI, acronym, APDPDEI]
  • A. APDPDEI chosen
    APDPDEI is the official acronym for the Decentralized Administration of Peloponnese, Western Greece and the Ionian, a regional state authority in Greece responsible for implementing national policies and overseeing local governance in those areas.
  • B. ASDP
    ASDP is the professional abbreviation for the American Society of Dermatopathology, an organization dedicated to the study and advancement of skin pathology.
  • C. APD
    APD is a German vehicle registration code assigned to the Weimarer Land district in the state of Thuringia.
  • D. ADBP
    ADBP is the former name of Pakistan's state-owned agricultural development bank, which provides financial services and credit to support the country's farming and rural sectors.
  • E. ASDPPP
    ASDPPP is a comprehensive book by Robert C. Martin that explores agile software development through core principles, design patterns, and best practices for building maintainable code.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1ec9820819093a07f90503686b2 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:30 p.m.