Triple

T2752848
Position Surface form Disambiguated ID Type / Status
Subject Stevenson–Wydler Technology Innovation Act of 1980 E61027 entity
Predicate hasAbbreviation P43 FINISHED
Object ORTA E61027 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: ORTA | Statement: [Stevenson–Wydler Technology Innovation Act of 1980, hasAbbreviation, ORTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ORTA
Context triple: [Stevenson–Wydler Technology Innovation Act of 1980, hasAbbreviation, ORTA]
  • A. ORTA chosen
    ORTA is the commonly used abbreviation for the U.S. Stevenson-Wydler Technology Innovation Act of 1980, a federal law that promotes the transfer of technology from government laboratories to the private sector.
  • B. Ors
    Ors is a small commune in northern France, known for its World War I history and military cemetery.
  • C. Osiauri
    Osiauri is a village located within Khashuri Municipality in the Shida Kartli region of central Georgia.
  • D. Orit
    Orit is the traditional biblical canon of Ethiopian Jews, encompassing their sacred scriptures and guiding religious teachings.
  • E. Orhay
    Orhay is an alternative historical name for the ancient city of Edessa, a significant center in Upper Mesopotamia known today as Şanlıurfa in southeastern Turkey.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6ed9c08190824d1866e198ef80 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbdb43d481909bf4e61840979c0a completed March 10, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:56 p.m.