Triple

T22183758
Position Surface form Disambiguated ID Type / Status
Subject Favoriten E548236 entity
Predicate hasNeighbouringDistrict P17964 FINISHED
Object Liesing 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: Liesing | Statement: [Favoriten, hasNeighbouringDistrict, Liesing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liesing
Context triple: [Favoriten, hasNeighbouringDistrict, Liesing]
  • A. Liesing chosen
    Liesing is the 23rd and southernmost district of Vienna, Austria, known for its mix of residential areas, industrial zones, and green spaces along the Liesingbach stream.
  • B. Liesing (Mur)
    Liesing (Mur) is a small river in Styria, Austria, that flows through the Graz area before joining the Mur River.
  • C. Lainsitz
    Lainsitz is the German name for the Lužnice River, a waterway flowing through the Czech Republic and Austria.
  • D. Essling
    Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
  • E. Leissigen
    Leissigen is a Swiss village in the canton of Bern, known for its scenic location in the Bernese Oberland on the shores of Lake Thun.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa75440819084cbe9176b9edb47 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.