Triple

T13764639
Position Surface form Disambiguated ID Type / Status
Subject Elbląg E330705 entity
Predicate twinCity P1072 FINISHED
Object Leer E176336 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: Leer | Statement: [Elbląg, twinCity, Leer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leer
Context triple: [Elbląg, twinCity, Leer]
  • A. Leer chosen
    Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
  • B. Lees
    Lees is a village in the Metropolitan Borough of Oldham, Greater Manchester, England, historically part of Lancashire.
  • C. Lezgin
    Lezgin is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan (Russia) and northern Azerbaijan.
  • D. Léez
    Léez is a river in southwestern France that serves as a tributary within the Gave de Pau river system.
  • E. Leandoer
    Leandoer is an alias of Swedish rapper, singer, and songwriter Yung Lean, known for pioneering the cloud rap and sad rap scenes.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de022690ac8190bd5410ecc659a2a7 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a862e6808190b8fbb27304212058 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.