Triple

T3444228
Position Surface form Disambiguated ID Type / Status
Subject Wallachia E72636 entity
Predicate titleOfRuler P10605 FINISHED
Object Hospodar
Hospodar was a historical title used for princes or rulers in Eastern European principalities, particularly in the Danubian regions.
 E358881 NE FINISHED

How this triple was built (4 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: Hospodar | Statement: [Wallachia, titleOfRuler, Hospodar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hospodar
Context triple: [Wallachia, titleOfRuler, Hospodar]
  • A. Agutaynen
    Agutaynen is an Austronesian language spoken by the Agutaynen people in the Philippines, primarily in the province of Palawan.
  • B. Boorga
    Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • C. Wildomar
    Wildomar is a small city in Southern California known for its suburban residential character and location within the rapidly growing Inland Empire region.
  • D. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • E. Gróf
    Gróf is the original Hungarian family name of Andrew S. Grove, the influential former CEO and co-founder of Intel Corporation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hospodar
Triple: [Wallachia, titleOfRuler, Hospodar]
Generated description
Hospodar was a historical title used for princes or rulers in Eastern European principalities, particularly in the Danubian regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hospodar
Target entity description: Hospodar was a historical title used for princes or rulers in Eastern European principalities, particularly in the Danubian regions.
  • A. Agutaynen
    Agutaynen is an Austronesian language spoken by the Agutaynen people in the Philippines, primarily in the province of Palawan.
  • B. Boorga
    Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • C. Wildomar
    Wildomar is a small city in Southern California known for its suburban residential character and location within the rapidly growing Inland Empire region.
  • D. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • E. Gróf
    Gróf is the original Hungarian family name of Andrew S. Grove, the influential former CEO and co-founder of Intel Corporation.
  • F. None of above. chosen

Provenance (5 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba2b93dc819094e9cca1a5d9540a completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360da33e081908630e3f29ea01530 completed March 13, 2026, 12:56 a.m.
NEDg Description generation batch_69b3615cf80481908ff305f995d0b176 completed March 13, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69b36249b50881909ebae2d35b30cc1c completed March 13, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:16 p.m.