Triple

T9927659
Position Surface form Disambiguated ID Type / Status
Subject Klosterneuburg E187962 entity
Predicate hasSubdivision P747 FINISHED
Object Kierling E114922 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: Kierling | Statement: [Klosterneuburg, hasSubdivision, Kierling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kierling
Context triple: [Klosterneuburg, hasSubdivision, Kierling]
  • A. Kierling chosen
    Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
  • B. Teckberg
    Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
  • C. Oxenberg
    Oxenberg is a surname most prominently associated with actress Catherine Oxenberg, known for her role on the television series "Dynasty" and her ties to European royalty.
  • D. Dairen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • E. Sharston
    Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
  • 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_69ca82b22a688190b52c75bd48429c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb59d7ad08190982a1584547190bd completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20e1eace88190a591cbab02153869 completed April 5, 2026, 7:24 a.m.
Created at: March 30, 2026, 8:43 p.m.