Triple

T9487199
Position Surface form Disambiguated ID Type / Status
Subject Industrieviertel E228790 entity
Predicate majorCity P316 FINISHED
Object Mödling E164446 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: Mödling | Statement: [Industrieviertel, majorCity, Mödling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mödling
Context triple: [Industrieviertel, majorCity, Mödling]
  • A. Mödling chosen
    Mödling is a historic town in Lower Austria, near Vienna, known for its picturesque old town, wine culture, and proximity to the Vienna Woods.
  • B. Wiener Neustadt
    Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
  • C. Döbling
    Döbling is a residential district in the northwest of Vienna, Austria, known for its vineyards, green hills, and affluent neighborhoods.
  • D. Seibersdorf
    Seibersdorf is an Austrian town known for hosting major research and testing laboratories of the International Atomic Energy Agency.
  • E. Schwechat
    Schwechat is an Austrian town just southeast of Vienna, best known as the site of Vienna International Airport and a major hub for industry and transport.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd8051303881909566126a2688e41c completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f5cd12881909fb1524a972448ee completed April 4, 2026, 11:31 p.m.
Created at: March 30, 2026, 7:55 p.m.