Triple

T23514059
Position Surface form Disambiguated ID Type / Status
Subject Education Sciences Reform Act of 2002 E572507 entity
Predicate shortName P43 FINISHED
Object ESRA 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: ESRA | Statement: [Education Sciences Reform Act of 2002, shortName, ESRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESRA
Context triple: [Education Sciences Reform Act of 2002, shortName, ESRA]
  • A. ESRA chosen
    ESRA is a U.S. federal law that overhauled education research and statistics, creating the Institute of Education Sciences to improve the quality and use of evidence in education policy and practice.
  • B. ECRA
    ECRA is a U.S. federal law that modernizes and strengthens controls on the export of sensitive technologies and goods important to national security and foreign policy.
  • C. ES-AR
    ES-AR is the ISO 3166-2 subdivision code that uniquely identifies the autonomous community of Aragon within Spain.
  • D. ESGR
    ESGR is a U.S. Department of Defense program that promotes cooperation and understanding between Reserve Component service members and their civilian employers.
  • E. ECSR
    ECSR is the monitoring body of the Council of Europe responsible for assessing compliance with the European Social Charter on social and economic rights.
  • 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa80174c819088c9c19fdcf2a133 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.