Triple

T13236622
Position Surface form Disambiguated ID Type / Status
Subject Public Law 97-34 E315162 entity
Predicate shortName P43 FINISHED
Object ERTA E315160 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: ERTA | Statement: [Public Law 97-34, shortName, ERTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERTA
Context triple: [Public Law 97-34, shortName, ERTA]
  • A. ERTA chosen
    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.
  • B. ERT
    ERT is an acronym commonly used to refer to an Emergency Response Team, a specialized group trained to react quickly and effectively to crises or hazardous incidents.
  • C. ETB
    ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
  • D. ETM
    ETM is the IATA airport code for Ramon Airport, an international airport serving the Eilat region in southern Israel.
  • E. ETM
    ETM is the stock ticker symbol for Audacy, Inc., a major American radio broadcasting and digital audio company formerly known as Entercom Communications.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d56da008190af55da3a9e7ffd4d completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a35ccc88190881a7066b7af8fea completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:22 p.m.