Triple

T14505134
Position Surface form Disambiguated ID Type / Status
Subject Chilia Veche E340244 entity
Predicate hasNearbyWaterArea P49291 FINISHED
Object lakes and lagoons of the Danube Delta 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: lakes and lagoons of the Danube Delta | Statement: [Chilia Veche, hasNearbyWaterArea, lakes and lagoons of the Danube Delta]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyWaterArea
Context triple: [Chilia Veche, hasNearbyWaterArea, lakes and lagoons of the Danube Delta]
  • A. hasNearbyWater chosen
    Indicates that one entity is located close to a body of water associated with or relevant to another entity.
  • B. hasNearbyWaterInfrastructure
    Indicates that a location or entity is situated close to water-related infrastructure such as pipes, treatment facilities, or distribution systems.
  • C. hasNearbyWatersUsedBy
    Indicates that a body of water located near an entity is utilized or accessed by another specified entity.
  • D. hasSurroundingWaters
    Indicates that one entity is bordered or encircled by bodies of water associated with another entity.
  • E. hasNearbyLake
    Indicates that one entity is located close to or in the vicinity of a lake.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e25a2481908b8394e9a19f3b64 completed April 14, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69de5c4ccba08190a988bfda0bc9f5cb completed April 14, 2026, 3:25 p.m.
Created at: April 10, 2026, 1:21 a.m.