Triple

T4440781
Position Surface form Disambiguated ID Type / Status
Subject Thal, Styria, Austria E95764 entity
Predicate hasRegion P285 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: [Thal, Styria, Austria, hasRegion, Graz metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graz metropolitan area
Context triple: [Thal, Styria, Austria, hasRegion, 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. 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.
  • C. 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.
  • D. 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.
  • E. Linz
    Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ac05e081908411089c05fc36bd completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281264f08190942d2043495c89d5 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:32 p.m.