Triple

T4569600
Position Surface form Disambiguated ID Type / Status
Subject PEN Translation Prize E122996 entity
Predicate awardingBodyMission P57764 FINISHED
Object defense of free expression 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: defense of free expression | Statement: [PEN Translation Prize, awardingBodyMission, defense of free expression]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: awardingBodyMission
Context triple: [PEN Translation Prize, awardingBodyMission, defense of free expression]
  • A. awardingBodyField
    Indicates the organization or authority that grants or confers a particular award, qualification, or certification in the described relationship.
  • B. awardingBodyAbbreviation
    Indicates the abbreviated name used by the organization or institution that grants or confers an award, qualification, or certification.
  • C. hasMissionAgency
    Indicates that an entity is associated with, overseen by, or carried out under the responsibility of a particular mission agency.
  • D. awardingOrganization
    Indicates the organization that grants, confers, or issues an award, honor, or similar recognition to a recipient.
  • E. relatedMission
    Indicates that one mission is connected or associated with another mission in a meaningful way, such as by shared goals, context, participants, or timeline.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58a0dfbc81909b5023f0c29addaf completed March 20, 2026, 2:24 p.m.
PD Predicate disambiguation batch_69bd5227063c8190973155a875b013a7 completed March 20, 2026, 1:56 p.m.
PDg Predicate description generation batch_69bd56f6e75481909c487a94a2c2d0ba completed March 20, 2026, 2:17 p.m.
Created at: March 20, 2026, 1:10 p.m.