Triple

T8759773
Position Surface form Disambiguated ID Type / Status
Subject Mława–Elbing Offensive E208165 entity
Predicate involvedCity P10973 FINISHED
Object Elbing E226489 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: Elbing | Statement: [Mława–Elbing Offensive, involvedCity, Elbing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elbing
Context triple: [Mława–Elbing Offensive, involvedCity, Elbing]
  • A. Elbing chosen
    Elbing is a historic Baltic port city, now known as Elbląg in Poland, that played a notable role in medieval trade as part of the Hanseatic commercial network.
  • B. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • C. Bromberg
    Bromberg is the former German name for the city of Bydgoszcz, a major urban and industrial center in present-day north-central Poland.
  • D. Czernowitz
    Czernowitz is the former German name of Chernivtsi, a historically multicultural city in Western Ukraine that was once part of the Austro-Hungarian Empire.
  • E. Vitebsk
    Vitebsk is a historic city in northeastern Belarus known as a major cultural center and the birthplace of artist Marc Chagall.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5df81c58819089af99306e103dbb completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f10aea48190bb63a4b2fdd72338 completed April 3, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:40 p.m.