Triple

T1215648
Position Surface form Disambiguated ID Type / Status
Subject Hasidism E26100 entity
Predicate hasMajorDynasty P25072 FINISHED
Object Skver E95664 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: Skver | Statement: [Hasidism, hasMajorDynasty, Skver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skver
Context triple: [Hasidism, hasMajorDynasty, Skver]
  • A. Skvyra chosen
    Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
  • B. Damrak
    Damrak is a central street and canal in Amsterdam that runs from Amsterdam Centraal Station toward Dam Square, forming one of the city’s main tourist and commercial arteries.
  • C. Lesje
    Lesje is a central character in Margaret Atwood's novel "Life Before Man," portrayed as a paleontologist navigating complex personal relationships and questions of identity.
  • D. Kameçvara
    Kameçvara was a prominent king of the medieval Javanese Kediri Kingdom, remembered for his prosperous reign and association with the classic romance tale of Panji.
  • E. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf169868819090cfab7e34c40c67 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac831fb6bc8190907f36e52489ec5c completed March 7, 2026, 7:57 p.m.
Created at: March 1, 2026, 7:46 p.m.