Triple

T27082242
Position Surface form Disambiguated ID Type / Status
Subject Stobnica River E685929 entity
Predicate mouthBasinCountry P411 FINISHED
Object Poland 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: Poland | Statement: [Stobnica River, mouthBasinCountry, Poland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mouthBasinCountry
Context triple: [Stobnica River, mouthBasinCountry, Poland]
  • A. basinCountry chosen
    Indicates the country or countries within whose territory a river basin or drainage area is primarily located or through which it significantly extends.
  • B. mouthBasinFor
    Indicates that one entity serves as a basin or receptacle specifically intended for use with another entity’s mouth.
  • C. basinPartOf
    Indicates that one basin is a component or subdivision of a larger basin or basin system.
  • D. reservoirCountry
    Indicates that a country contains or hosts the reservoir associated with the referenced entity.
  • E. countryDownstreamBasin
    Indicates that one country lies within the downstream portion of a river basin relative to another country or reference point.
  • 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_69ef148940ec819097b5c20fbfbf7c81 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f6234239ac8190b567c5184e1ebe51 completed May 2, 2026, 4:16 p.m.
PD Predicate disambiguation batch_69f61b40f02081909bd9c3ea73249163 completed May 2, 2026, 3:41 p.m.
Created at: April 27, 2026, 8:35 a.m.