Triple

T16148459
Position Surface form Disambiguated ID Type / Status
Subject GRE Computer Science Test E391846 entity
Predicate offeredBy P178 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: [GRE Computer Science Test, offeredBy, ETS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ETS
Context triple: [GRE Computer Science Test, offeredBy, 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. ESS
    ESS is the commonly used abbreviation for Étoile Sportive du Sahel, a prominent multi-sport club based in Sousse, Tunisia, best known for its successful football team.
  • D. ESS
    ESS is the commonly used abbreviation for the European Standardization System, the framework through which European standards are developed and harmonized.
  • E. 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.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d9551e081908391061b092ff31b completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffef2f49081909841a1f9bfbd622b completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:01 a.m.