Triple

T16151915
Position Surface form Disambiguated ID Type / Status
Subject Murinsel E391930 entity
Predicate owner P347 FINISHED
Object City of Graz E91728 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: City of Graz | Statement: [Murinsel, owner, City of Graz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Graz
Context triple: [Murinsel, owner, City of Graz]
  • A. Graz chosen
    Graz is Austria’s second-largest city, known for its well-preserved medieval old town and historic role as a center of science and education.
  • B. Kapfenberg
    Kapfenberg is an industrial town in southeastern Austria known for its steel production and location in the state of Styria.
  • C. Freistadt
    Freistadt is a historic small city in Upper Austria known for its well-preserved medieval town center and role as a local cultural and economic hub.
  • D. Historic Centre of Graz
    The Historic Centre of Graz is a UNESCO World Heritage-listed old town in Austria renowned for its well-preserved medieval and Renaissance architecture, picturesque streets, and prominent landmarks such as the Schlossberg hill and its clock tower.
  • E. St. Pölten
    St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21d981950819087fdacc7879dca97 completed April 17, 2026, 11:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f39008c819095ad8512eb119ee8 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:01 a.m.