Triple

T10307583
Position Surface form Disambiguated ID Type / Status
Subject Aharon Katzir E241804 entity
Predicate placeOfBirth P1 FINISHED
Object Łódź, Poland (then Russian Empire) E15327 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: Łódź, Poland (then Russian Empire) | Statement: [Aharon Katzir, placeOfBirth, Łódź, Poland (then Russian Empire)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Łódź, Poland (then Russian Empire)
Context triple: [Aharon Katzir, placeOfBirth, Łódź, Poland (then Russian Empire)]
  • A. Lipno, Poland
    Lipno, Poland is a small town in north-central Poland’s Kuyavian-Pomeranian Voivodeship, known as the birthplace of prominent economist and reformer Leszek Balcerowicz.
  • B. Kozienice, Poland
    Kozienice is a historic town in east-central Poland known for its location along the Vistula River and proximity to the Kozienice Landscape Park.
  • C. Tychy, Poland
    Tychy, Poland is an industrial city in the Silesian region known for its major automotive manufacturing plants and brewing industry.
  • D. Lutynia, Poland
    Lutynia, Poland is a village in southwestern Poland best known as the site of the historic 1757 Battle of Leuthen during the Seven Years' War.
  • E. Łódź chosen
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d328272c8190a3548d7f7f38cfc4 completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d6867488190bc41eeec7666af38 completed April 9, 2026, 3:30 a.m.
Created at: April 6, 2026, 11:46 a.m.