Triple

T10669846
Position Surface form Disambiguated ID Type / Status
Subject Paresh Babu E251457 entity
Predicate associatedWithWorkTitle P89906 FINISHED
Object Gora E49286 NE FINISHED

How this triple was built (3 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: Gora | Statement: [Paresh Babu, associatedWithWorkTitle, Gora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gora
Context triple: [Paresh Babu, associatedWithWorkTitle, Gora]
  • A. Gora
    Gora is a mountainous border region in the Balkans known for its distinct Gorani Slavic Muslim community and shared cultural traditions across Kosovo, Albania, and North Macedonia.
  • B. Gora chosen
    Gora is a major Bengali novel by Rabindranath Tagore that explores themes of identity, nationalism, and religious and social reform in colonial India.
  • C. Gora
    Gora is the nickname of Gourmohan, likely used as a familiar or affectionate short form of his given name.
  • D. Gora Krasnaya
    Gora Krasnaya is the highest elevation on the Samland Peninsula in the Kaliningrad region of Russia.
  • E. Zelengora Mountain
    Zelengora Mountain is a scenic mountain range in southeastern Bosnia and Herzegovina, renowned for its pristine glacial lakes, rich biodiversity, and extensive hiking opportunities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithWorkTitle
Context triple: [Paresh Babu, associatedWithWorkTitle, Gora]
  • A. associatedWithWorkOf chosen
    Indicates that one entity has a connection or involvement with the work, creation, or output produced by another entity.
  • B. basedOnWorkTitle
    Indicates that something is derived from, adapted from, or otherwise created based on a work identified by its title.
  • C. associatedWithWorkforce
    Indicates a relationship in which an entity is connected or related to a particular workforce, such as its members, activities, or management.
  • D. associatedWorkType
    Indicates the type or category of work with which an entity is associated (e.g., publication, artwork, performance).
  • E. associatedWithWorkTheme
    Indicates a relationship where something is connected or related to a particular work theme or subject matter.
  • F. None of above.

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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f861513881909b44c711371086b7 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69de225f57948190aaf2954bce91f752 completed April 14, 2026, 11:17 a.m.
PD Predicate disambiguation batch_69d6dd8a93208190a573061387e2aebb completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:09 p.m.