Triple

T32137813
Position Surface form Disambiguated ID Type / Status
Subject Crișul E820818 entity
Predicate riverSystemNameInHungarian P179261 FINISHED
Object Körös 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: Körös | Statement: [Crișul, riverSystemNameInHungarian, Körös]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: riverSystemNameInHungarian
Context triple: [Crișul, riverSystemNameInHungarian, Körös]
  • A. hydronymOf
    Indicates that one term is the name of a body of water associated with another geographic entity (e.g., a river, lake, or sea named after a place or feature).
  • B. watercourseNameLanguage
    Indicates the language in which the name of a watercourse (such as a river or stream) is expressed.
  • C. riverSystem
    Indicates that one entity is a river system to which the other entity belongs or is a component (such as a tributary or segment).
  • D. hasRiver
    Indicates that a location or area contains, is traversed by, or is directly associated with a river.
  • E. mouthOfTheWatercourse
    Indicates the location where a watercourse ends and flows into a larger body of water.
  • 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_69f349039e0c819091c7a7d322e3f46d completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f7201e241c819092d56a7bb99dc94d completed May 3, 2026, 10:14 a.m.
PD Predicate disambiguation batch_69f71cc405c08190863565609a4c8499 completed May 3, 2026, 10 a.m.
PDg Predicate description generation batch_69f71f8df5d48190944fbfbd9d573868 completed May 3, 2026, 10:12 a.m.
Created at: May 1, 2026, 12:30 a.m.