Triple

T4704774
Position Surface form Disambiguated ID Type / Status
Subject Váh E104365 entity
Predicate hasHydropowerPlant P15311 FINISHED
Object Liptovská Mara E429093 NE 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: Liptovská Mara | Statement: [Váh, hasHydropowerPlant, Liptovská Mara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liptovská Mara
Context triple: [Váh, hasHydropowerPlant, Liptovská Mara]
  • A. Liptovská Mara chosen
    Liptovská Mara is a large reservoir in northern Slovakia, known for flood control, hydroelectric power generation, and recreational activities in the Liptov region.
  • B. Liptovská Osada
    Liptovská Osada is a village in the Liptov region of northern Slovakia, known for its mountainous surroundings and proximity to the Low Tatras.
  • C. Liptovský Hrádok
    Liptovský Hrádok is a small Slovak town in the Liptov region, known for its historic castle complex and location near the Tatra Mountains.
  • D. Liptovská Lúžna
    Liptovská Lúžna is a village in northern Slovakia, situated in the Liptov region and known for its mountainous surroundings and traditional rural character.
  • E. Liptovský Ján
    Liptovský Ján is a Slovak village in the Liptov region known for its scenic mountain surroundings, thermal springs, and traditional architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63d1e9c48190bad5f7d68bf0f622 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77845de88190a93f666d8e9faf00 completed March 21, 2026, 10:48 a.m.
Created at: March 20, 2026, 1:17 p.m.