Triple

T928072
Position Surface form Disambiguated ID Type / Status
Subject Egyptian Revolution of 2011 E20028 entity
Predicate arrestsApproximate P13732 FINISHED
Object 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: thousands | Statement: [Egyptian Revolution of 2011, arrestsApproximate, thousands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: arrestsApproximate
Context triple: [Egyptian Revolution of 2011, arrestsApproximate, thousands]
  • A. arrestedFor
    Indicates that an authority has taken someone into custody because they are suspected or accused of committing a specified offense or wrongdoing.
  • B. numberOfPrisonersApproximate chosen
    Indicates an approximate count of prisoners associated with an entity or situation, rather than an exact number.
  • C. estimatedPrisonerCount
    Indicates the estimated number of prisoners associated with a particular context, such as a location, time period, or event.
  • D. attemptedArrestBy
    Indicates that one entity tried, but may not have succeeded, to place another entity under arrest.
  • E. reArrested
    Indicates that an entity is arrested again after having been previously released or arrested before.
  • F. None of above.

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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b32de3cc81908a0ef885795677ff completed March 1, 2026, 9:44 p.m.
PD Predicate disambiguation batch_69a4b29876348190a29f4ff9878074a5 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.