Triple

T12240854
Position Surface form Disambiguated ID Type / Status
Subject Karlshagen E291724 entity
Predicate hasNearbyBodyOfWater P8567 FINISHED
Object Peenestrom E275810 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: Peenestrom | Statement: [Karlshagen, hasNearbyBodyOfWater, Peenestrom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peenestrom
Context triple: [Karlshagen, hasNearbyBodyOfWater, Peenestrom]
  • A. Peenestrom chosen
    Peenestrom is a strait in northeastern Germany that connects the Szczecin Lagoon with the Baltic Sea and separates the island of Usedom from the mainland.
  • B. Ryen
    Ryen is a residential neighborhood in Oslo, Norway, known for its apartment blocks, local amenities, and good public transport connections.
  • C. Penneru
    Penneru is an alternate name for the Penna River, a major river flowing through the southern Indian states of Andhra Pradesh and Karnataka.
  • D. Kadan
    Kadan was a Mongol prince and military commander who played a key role in the Mongol invasions of Central and Eastern Europe in the 13th century.
  • E. Curon Venosta
    Curon Venosta is a picturesque municipality in South Tyrol, northern Italy, best known for the submerged village and iconic church tower rising from nearby Lake Resia.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb59ce4819099999b8755fb8b98 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab5a404819089f9ea868deda10c completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.