Triple

T11836367
Position Surface form Disambiguated ID Type / Status
Subject Graz Airport E281525 entity
Predicate servesRegion P82 FINISHED
Object Graz metropolitan area 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: Graz metropolitan area | Statement: [Graz Airport, servesRegion, Graz metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graz metropolitan area
Context triple: [Graz Airport, servesRegion, Graz metropolitan area]
  • 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. Greater Vienna
    Greater Vienna was a historical administrative expansion of Vienna that incorporated surrounding municipalities and districts into a larger metropolitan area, particularly during the Nazi era.
  • C. 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.
  • D. Tulln an der Donau
    Tulln an der Donau is an Austrian town on the Danube River, known for its rich history and as the birthplace of painter Egon Schiele.
  • E. Villach
    Villach is a historic city in southern Austria known for its Alpine setting, thermal spas, and role as a regional transport and cultural hub.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62fec0881908c7b89c0b5bcc9a2 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4715720e08190a3bc1b4fc888fe79 completed May 1, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:43 p.m.