Triple

T708994
Position Surface form Disambiguated ID Type / Status
Subject Subhas Chandra Bose E14164 entity
Predicate passedExam P19062 FINISHED
Object Indian Civil Service examination 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: Indian Civil Service examination | Statement: [Subhas Chandra Bose, passedExam, Indian Civil Service examination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: passedExam
Context triple: [Subhas Chandra Bose, passedExam, Indian Civil Service examination]
  • A. passed
    Indicates that one entity successfully transferred control, responsibility, or an item (such as an object, message, or test) to another entity or through a specified stage or condition.
  • B. passes
    Indicates that one entity successfully transfers, hands over, or moves something (such as an object, message, or responsibility) to another entity.
  • C. examProvider
    Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
  • D. turnedPro
    Indicates that an individual transitioned from amateur status to professional status in a particular field or activity.
  • E. hasPass
    Indicates that an entity possesses or has been granted a pass, such as a ticket, permit, or authorization to access something.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5c011948190b2cfccd8fe722742 completed March 1, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69a4a4f0217081908268b3f47e72f8df completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a5bed20c81909ecc28bf42594e72 completed March 1, 2026, 8:46 p.m.
Created at: March 1, 2026, 7:36 p.m.