Triple

T10449752
Position Surface form Disambiguated ID Type / Status
Subject Lusatian Neisse E246387 entity
Predicate alsoKnownAs P39 FINISHED
Object Nysa Łużycka E854114 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: Nysa Łużycka | Statement: [Lusatian Neisse, alsoKnownAs, Nysa Łużycka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nysa Łużycka
Context triple: [Lusatian Neisse, alsoKnownAs, Nysa Łużycka]
  • A. Nysa Łużycka chosen
    Nysa Łużycka is a Central European river that forms part of the border between Germany and Poland before flowing into the Oder River.
  • B. Nysa Kłodzka
    Nysa Kłodzka is a river in southwestern Poland that flows through the Kłodzko Valley and Silesia before joining the Oder.
  • C. Skawina
    Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
  • D. Głuszyna
    Głuszyna is a locality in present-day Poland known as the birthplace of the 19th-century Polish explorer and geologist Paweł Edmund Strzelecki.
  • E. Dolina Kościeliska
    Dolina Kościeliska is a popular scenic valley in the Polish Tatra Mountains, known for its dramatic limestone gorges, caves, and hiking trails.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe09af04819083db42f4de4cb0a9 completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87efedf6c8190aa4b7bbe5f160eeb completed April 10, 2026, 4:39 a.m.
Created at: April 6, 2026, 12:17 p.m.