Triple

T3994842
Position Surface form Disambiguated ID Type / Status
Subject TOEIC E87074 entity
Predicate developedBy P73 FINISHED
Object ETS E13804 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: ETS | Statement: [TOEIC, developedBy, ETS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ETS
Context triple: [TOEIC, developedBy, ETS]
  • A. ETS chosen
    ETS is a nonprofit organization that develops and administers standardized tests and assessments used worldwide for education, certification, and professional licensing.
  • B. ETS
    ETS is the abbreviation for the Educational and Training Services Branch, a unit responsible for developing and delivering education and training programs.
  • C. EPS
    EPS is the abbreviation for UC Berkeley’s Department of Earth and Planetary Science, which focuses on research and education in geology, geophysics, and planetary sciences.
  • D. ATS
    ATS is a North American accrediting and membership organization for graduate schools of theology and ministry.
  • E. ATS
    ATS is the Antarctic Treaty Secretariat, the international body that supports and coordinates the implementation of the Antarctic Treaty System among its member countries.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa1f0fb88190aafbfdc98bc8652d completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5403c703081908070625ebfb6fb5f completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:34 p.m.