Triple

T16961588
Position Surface form Disambiguated ID Type / Status
Subject Monographs programme E411443 entity
Predicate reportsUsedFor P125396 FINISHED
Object cancer prevention 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: cancer prevention | Statement: [Monographs programme, reportsUsedFor, cancer prevention]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reportsUsedFor
Context triple: [Monographs programme, reportsUsedFor, cancer prevention]
  • A. reportsUsedBy
    Indicates that a report is utilized or referenced by another entity (such as a user, system, or process).
  • B. reportsImplementedBy
    Indicates that a report is realized, produced, or carried out by a specific implementing entity or system.
  • C. reportsFor
    Indicates that one entity is subordinate to another and is required to provide updates or answer to that entity, typically within an organizational or hierarchical structure.
  • D. reportsWithin
    Indicates that one entity submits or delivers a report to another entity within a specified time frame or boundary.
  • E. reportsThrough
    Indicates that one entity formally communicates and is accountable to another entity through an established reporting or supervisory chain.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0209a9081909d9c62456bc16e14 completed April 18, 2026, 6:40 p.m.
PD Predicate disambiguation batch_69e32b9cddf88190bc42709604047353 completed April 18, 2026, 6:58 a.m.
PDg Predicate description generation batch_69e355722040819098830dabf207ecd6 completed April 18, 2026, 9:57 a.m.
Created at: April 10, 2026, 5:31 a.m.