Triple

T12528059
Position Surface form Disambiguated ID Type / Status
Subject Employment and Training Administration E299489 entity
Predicate abbreviation P43 FINISHED
Object ETA E299489 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: ETA | Statement: [Employment and Training Administration, abbreviation, ETA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ETA
Context triple: [Employment and Training Administration, abbreviation, ETA]
  • A. ETA chosen
    ETA is a U.S. Department of Labor agency that oversees federal employment, job training, and workforce development programs.
  • B. ETA
    ETA was a Basque separatist militant organization in Spain known for its decades-long campaign of bombings, assassinations, and kidnappings.
  • C. ETA
    ETA is a specialized unit within the Hellenic Army Special Forces known for conducting high-risk, elite military operations for Greece.
  • D. ETA
    ETA is a Canadian federal statute that governs the imposition, collection, and administration of the Goods and Services Tax (GST), Harmonized Sales Tax (HST), and certain excise taxes.
  • E. ETA
    ETA is the abbreviation for the Estonian Academy of Sciences, the leading national body that coordinates and promotes scientific research in Estonia.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545e90948190980bd4d64964a0f2 completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc674e881908673e1f9103cc8be completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.