Triple

T21840755
Position Surface form Disambiguated ID Type / Status
Subject European meteorological services E539244 entity
Predicate hasMember P10 FINISHED
Object ZAMG 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: ZAMG | Statement: [European meteorological services, hasMember, ZAMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZAMG
Context triple: [European meteorological services, hasMember, ZAMG]
  • A. ZAMG chosen
    ZAMG is Austria’s national meteorological and geophysical service, responsible for weather forecasting, climate monitoring, and related scientific research.
  • B. Krailling
    Krailling is a municipality in the district of Starnberg in Bavaria, Germany, known as a residential community within the Munich metropolitan area.
  • C. Wörgl
    Wörgl is a small Austrian town in the state of Tyrol, known for its role in early 20th-century economic experiments with local currency and its location in the Inn Valley near major Alpine ski areas.
  • D. Pöchlarn
    Pöchlarn is a small town in Lower Austria best known as the birthplace of the expressionist painter Oskar Kokoschka.
  • E. Krimml
    Krimml is a village in the Austrian state of Salzburg best known as the gateway to the famous Krimml Waterfalls in the Hohe Tauern National Park.
  • 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7ab71e081908e3d3293743e6409 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.