Triple

T21401244
Position Surface form Disambiguated ID Type / Status
Subject Modulen E527916 entity
Predicate hasBrand P1500 FINISHED
Object Modulen IBD NE NERFINISHED

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: Modulen IBD | Statement: [Modulen, hasBrand, Modulen IBD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Modulen IBD
Context triple: [Modulen, hasBrand, Modulen IBD]
  • A. Modulen chosen
    Modulen is a specialized medical nutrition product line from Nestlé Health Science, commonly used in the dietary management of conditions such as Crohn’s disease.
  • B. IBED
    IBED is a research institute focused on studying biodiversity, ecosystem processes, and environmental change.
  • C. IBI
    IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
  • D. MODS
    MODS (Metadata Object Description Schema) is a bibliographic metadata standard developed by the Library of Congress that provides a rich, XML-based format for describing digital and print resources.
  • E. MIB-I
    MIB-I is the original version of the Management Information Base used with the SNMP protocol to define standard network management data objects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b16f7c5081909475eb5bb6177955 completed April 22, 2026, 11:30 a.m.
Created at: April 16, 2026, 5:15 p.m.