Triple

T13083957
Position Surface form Disambiguated ID Type / Status
Subject Warta E310280 entity
Predicate hasTributary P415 FINISHED
Object Noteć E310281 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: Noteć | Statement: [Warta, hasTributary, Noteć]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noteć
Context triple: [Warta, hasTributary, Noteć]
  • A. Noteć chosen
    Noteć is a major river in central-western Poland that flows through regions such as Greater Poland, serving as an important natural waterway and ecological corridor.
  • B. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • C. Una Nota
    "Una Nota" is a Latin music track by Puerto Rican singer José "Cheo" Feliciano, known for its romantic salsa style and smooth, expressive vocals.
  • D. Noske
    Noske is a German surname most notably associated with Gustav Noske, a Social Democratic politician who played a key role in the early Weimar Republic.
  • E. Notsi
    Notsi is an Oceanic language spoken in parts of Papua New Guinea, belonging to the Meso-Melanesian branch of the Austronesian language family.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60e7b48819087e4583a5736c1df completed May 3, 2026, 4:58 a.m.
Created at: April 9, 2026, 9:02 p.m.