Triple

T2748043
Position Surface form Disambiguated ID Type / Status
Subject Malaya Nevka E60916 entity
Predicate isUrbanWaterway P41360 FINISHED
Object true 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: true | Statement: [Malaya Nevka, isUrbanWaterway, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isUrbanWaterway
Context triple: [Malaya Nevka, isUrbanWaterway, true]
  • A. isUrbanRiverOf
    Indicates that a river flows through or is located within an urban area associated with a specified place or city.
  • B. waterwayClass
    Indicates the classification or type of a waterway based on its navigational, functional, or physical characteristics.
  • C. waterwayServed
    Indicates that a place, facility, or infrastructure is served by, connected to, or functionally supported by a particular waterway.
  • D. waterwayThrough
    Indicates that a waterway (such as a river or canal) passes through or traverses a specified geographic area or feature.
  • E. isInlandWaterwayCommunity
    Indicates that a community is located along or associated with an inland waterway, such as a river, canal, or lake, rather than on open coastal waters.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4ff7b08190b72edb6a2bc5fd19 completed March 7, 2026, 8:01 a.m.
PD Predicate disambiguation batch_69abd829f1e88190aab1d54f87c69714 completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd8dd05c48190b4f90031642c4091 completed March 7, 2026, 7:50 a.m.
Created at: March 6, 2026, 9:56 p.m.