Triple

T18877740
Position Surface form Disambiguated ID Type / Status
Subject Luis Carrero Blanco E461731 entity
Predicate killedBy P4646 FINISHED
Object ETA 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: ETA | Statement: [Luis Carrero Blanco, killedBy, ETA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ETA
Context triple: [Luis Carrero Blanco, killedBy, ETA]
  • A. 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.
  • B. ETA
    ETA is a U.S. Department of Labor agency that oversees federal employment, job training, and workforce development programs.
  • C. ETA chosen
    ETA was a Basque separatist militant organization in Spain known for its decades-long campaign of bombings, assassinations, and kidnappings.
  • D. ETA
    ETA is a specialized unit within the Hellenic Army Special Forces known for conducting high-risk, elite military operations for Greece.
  • 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 (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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3cfc4408190a7ae91459f75be52 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.