Triple

T12746913
Position Surface form Disambiguated ID Type / Status
Subject Lublin Land E304628 entity
Predicate hasMajorCity P316 FINISHED
Object Chełm E398525 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: Chełm | Statement: [Lublin Land, hasMajorCity, Chełm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chełm
Context triple: [Lublin Land, hasMajorCity, Chełm]
  • A. Chełm chosen
    Chełm is a city in eastern Poland known for its historical significance, including its role in World War II-era political developments and its distinctive chalk tunnels and religious heritage.
  • B. Haczów
    Haczów is a village in southeastern Poland known for its historic wooden architecture and cultural heritage, including one of the oldest and largest Gothic wooden churches in Europe.
  • C. Ciechanów
    Ciechanów is a historic town in east-central Poland, known as a regional center of the Mazovian area with a medieval castle and long-standing cultural traditions.
  • D. Parczew
    Parczew is a small town in eastern Poland known for its historical roots and location within the Lublin region.
  • E. Czorsztyn
    Czorsztyn is a small village in southern Poland known for its picturesque lakeside setting on the Dunajec River and the ruins of a medieval castle overlooking the Pieniny Mountains.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd58d30819082af4edb4cd0b4ab completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5a0824819097e41163e3092b68 completed May 9, 2026, 8:24 a.m.
Created at: April 9, 2026, 5:27 p.m.