Triple

T1758375
Position Surface form Disambiguated ID Type / Status
Subject Operation Wetback E38599 entity
Predicate estimatedNumberOfPeopleDeported P31406 FINISHED
Object hundreds of thousands LITERAL 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: hundreds of thousands | Statement: [Operation Wetback, estimatedNumberOfPeopleDeported, hundreds of thousands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedNumberOfPeopleDeported
Context triple: [Operation Wetback, estimatedNumberOfPeopleDeported, hundreds of thousands]
  • A. numberOfJewsDeportedToConcentrationCamps
    Indicates the number of Jewish individuals who were forcibly taken and sent to concentration camps.
  • B. deportedTo
    Indicates that an authority forcibly removed a person from one place or country and sent them to another specified destination.
  • C. deportedUnder
    Indicates that an entity was deported in accordance with, or by authority of, a specific law, policy, program, or legal provision.
  • D. deportedBy
    Indicates that an entity was expelled or removed from a country or territory by a specific authority, agent, or organization.
  • E. estimatedEmigrants
    Indicates the estimated number of people who have left a place or country to live elsewhere.
  • F. None of above. chosen

Provenance (4 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab173936b4819097332ee185996bbd completed March 6, 2026, 6:04 p.m.
PD Predicate disambiguation batch_69aa61c9e06c819085489e00cfe72153 completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69ab173830a481908b67928f16f5d999 completed March 6, 2026, 6:04 p.m.
Created at: March 4, 2026, 7:31 p.m.