Triple

T3457274
Position Surface form Disambiguated ID Type / Status
Subject ERDA E72934 entity
Predicate hasAbbreviation P43 FINISHED
Object ERDA E72934 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: ERDA | Statement: [ERDA, hasAbbreviation, ERDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERDA
Context triple: [ERDA, hasAbbreviation, ERDA]
  • A. ERDA chosen
    ERDA was a former U.S. federal agency responsible for coordinating national energy research and development programs, particularly in nuclear and alternative energy technologies.
  • B. DERA
    DERA is the U.S. Securities and Exchange Commission’s Division of Economic and Risk Analysis, which provides data-driven economic, financial, and risk assessment support for the agency’s rulemaking and oversight activities.
  • C. ERTA
    ERTA is a landmark 1981 U.S. federal law that significantly reduced individual and business income taxes to stimulate economic growth during the Reagan administration.
  • D. Erba
    Erba is a town in the Lombardy region of northern Italy, situated near Lake Como and known for its scenic surroundings and local industry.
  • E. ERI
    ERI is the Earthquake Research Institute of the University of Tokyo, a leading Japanese center for seismology and earthquake-related research.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbaa9837c8190aafd618c6af3446e completed March 8, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36104a1048190b6fa9f552786a85a completed March 13, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:16 p.m.