Triple

T2926580
Position Surface form Disambiguated ID Type / Status
Subject Barnim (district) E78857 entity
Predicate hasRiver P165 FINISHED
Object Panke E180731 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: Panke | Statement: [Barnim (district), hasRiver, Panke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panke
Context triple: [Barnim (district), hasRiver, Panke]
  • A. Panke chosen
    Panke is a small river in northeastern Germany that flows through Berlin and Brandenburg before joining the Spree.
  • B. Napareuli
    Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
  • C. Bassein
    Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
  • D. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • E. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97c1e9c08190bcec80bc3262697a completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08668a204819082b13e6ce62d5728 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:55 p.m.