Triple

T2458362
Position Surface form Disambiguated ID Type / Status
Subject Nathan the Wise E54473 entity
Predicate censorshipStatusAtTime P40618 FINISHED
Object sensitive due to criticism of religious fanaticism 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: sensitive due to criticism of religious fanaticism | Statement: [Nathan the Wise, censorshipStatusAtTime, sensitive due to criticism of religious fanaticism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: censorshipStatusAtTime
Context triple: [Nathan the Wise, censorshipStatusAtTime, sensitive due to criticism of religious fanaticism]
  • A. revisedVersionCensorshipStatus
    Indicates the censorship or restriction status applied to a revised version of some original content.
  • B. censorshipYear
    Indicates the year in which an act of censorship was imposed on the referenced content or entity.
  • C. hasCensorshipHistory
    Indicates that an entity has previously been subject to censorship or involved in acts of censoring content.
  • D. canCensure
    Indicates that one entity has the authority or power to formally reprimand, criticize, or express disapproval of another entity’s actions or behavior.
  • E. historicalStatusOf
    Indicates the historical condition, role, or classification that an entity held during a specific past period or context.
  • 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_69ab49dee84c819096b50a0049c347ac completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd49c5aa081909ab4f726a458b77f completed March 7, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69abd0b199488190aa381b36593ae1ac completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd49b5d2481908817aeb171e2bd61 completed March 7, 2026, 7:32 a.m.
Created at: March 6, 2026, 9:44 p.m.