Triple

T11037592
Position Surface form Disambiguated ID Type / Status
Subject Merecz E260926 entity
Predicate historicalNameInPolish P28982 FINISHED
Object Merecz E623819 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: Merecz | Statement: [Merecz, historicalNameInPolish, Merecz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merecz
Context triple: [Merecz, historicalNameInPolish, Merecz]
  • A. Menczel
    Menczel is a variant spelling of the surname Menzel, which is of German origin and borne by various notable individuals.
  • B. Miette
    Miette is a brave and resourceful young orphan girl who becomes a central figure in the dark fantasy film "The City of Lost Children," helping to unravel its sinister mysteries.
  • C. Merkys chosen
    Merkys is a river in Lithuania and Belarus that serves as one of the principal tributaries of the Neman (Niemen) River.
  • D. Mieresch
    Mieresch is the German name for the Mureș River, a major river flowing through Romania and Hungary.
  • E. Dunántúl
    Dunántúl is the Hungarian name for Transdanubia, the large western region of Hungary lying west of the Danube River.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797fd5fe081908af13835b18de7b8 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9c669608190af97c461beaf9f31 completed April 18, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:25 p.m.