Triple

T9411402
Position Surface form Disambiguated ID Type / Status
Subject EOPSS E226715 entity
Predicate abbreviation P43 FINISHED
Object EOPSS E226715 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: EOPSS | Statement: [EOPSS, abbreviation, EOPSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EOPSS
Context triple: [EOPSS, abbreviation, EOPSS]
  • A. EOPSS chosen
    EOPSS is the Massachusetts state agency responsible for overseeing public safety, law enforcement, emergency management, and related security functions.
  • B. EOP
    EOP is the collective group of offices and agencies that directly support the President of the United States in carrying out executive responsibilities and policy initiatives.
  • C. OPM
    OPM is the United States federal agency responsible for managing the civil service, including federal employee hiring, benefits, and human resources policy.
  • D. OPM
    OPM is a Yamaha FM synthesis sound chip, widely used in 1980s arcade machines and computers for generating rich, multi-voice music and sound effects.
  • E. OSEP
    OSEP is an advanced penetration testing certification from Offensive Security that focuses on evasive attack techniques and bypassing modern defenses.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd525785d48190a76c9940712e093a completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107ab67808190a9184c0e8c2e727f completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.