Triple

T923078
Position Surface form Disambiguated ID Type / Status
Subject Orhan E19924 entity
Predicate governmentalInnovation P16245 FINISHED
Object development of early Ottoman administrative structure 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: development of early Ottoman administrative structure | Statement: [Orhan, governmentalInnovation, development of early Ottoman administrative structure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentalInnovation
Context triple: [Orhan, governmentalInnovation, development of early Ottoman administrative structure]
  • A. governmentInvolvement
    Indicates that a government participates in, influences, regulates, or otherwise plays a role in the specified activity, process, or entity.
  • B. ledGovernment
    Indicates that one entity served as the head or primary leader of the government of another entity.
  • C. innovation
    Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
  • D. governmentalFunction
    Indicates that an entity performs, embodies, or is responsible for an official role, duty, or activity of a government.
  • E. innovationArea chosen
    Indicates the thematic or domain-specific field in which an innovation is focused or applied.
  • F. None of above.

Provenance (3 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b314f6fc81908a3ccc2e741e3c2b completed March 1, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69a4b295b02481908e5f53bfcb83cc94 completed March 1, 2026, 9:41 p.m.
Created at: March 1, 2026, 7:40 p.m.