Triple

T21185914
Position Surface form Disambiguated ID Type / Status
Subject Young Poland E522077 entity
Predicate location P40 FINISHED
Object Lwów NE NERFINISHED

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: Lwów | Statement: [Young Poland, location, Lwów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lwów
Context triple: [Young Poland, location, Lwów]
  • A. Lwów chosen
    Lwów is a historic city in Eastern Europe, now known as Lviv in western Ukraine, long recognized as a major cultural and political center of the region.
  • B. Stanisławów
    Stanisławów is a historic city in the former eastern borderlands of Poland (now Ivano-Frankivsk in Ukraine), known for its multicultural heritage and shifting political history.
  • C. Lemberg
    Lemberg is a small commune in northeastern France’s Moselle department, situated in the forested, hilly region known as the Pays de Bitche near the German border.
  • D. Lemberg
    Lemberg is a prominent mountain in the Swabian Jura of Baden-Württemberg, Germany, known as the highest peak in that range.
  • E. Lutsk
    Lutsk is a historic city in northwestern Ukraine, known as the administrative center of Volyn Oblast and one of the region’s oldest cultural and economic hubs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73021671c8190a7b464ece7dbaadd completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:06 p.m.