Triple

T9364268
Position Surface form Disambiguated ID Type / Status
Subject Watzmann E225360 entity
Predicate hasPart P35 FINISHED
Object Watzmannkinder E794708 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: Watzmannkinder | Statement: [Watzmann, hasPart, Watzmannkinder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Watzmannkinder
Context triple: [Watzmann, hasPart, Watzmannkinder]
  • A. Watzmannfrau chosen
    Watzmannfrau is a prominent secondary peak in the Watzmann massif of the Bavarian Alps, known as part of the mountain’s distinctive, legend-rich summit group.
  • B. Seewis im Prättigau
    Seewis im Prättigau is a Swiss mountain municipality in the canton of Graubünden, known for its scenic alpine landscapes and traditional village character.
  • C. Mürzzuschlag
    Mürzzuschlag is a small Austrian town in the state of Styria, known historically for its iron industry and as a winter sports and railway hub in the Eastern Alps.
  • D. Totes Gebirge
    Totes Gebirge is a large limestone mountain range in the Northern Limestone Alps of Austria, known for its extensive karst plateaus and rugged, sparsely vegetated landscape.
  • E. Seis am Schlern
    Seis am Schlern is a picturesque village in South Tyrol, northern Italy, known for its alpine scenery and proximity to the Dolomites.
  • 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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503fd7f081909655e2a880c84834 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100d3444c81908b14f165ec128b76 completed April 4, 2026, 12:15 p.m.
Created at: March 30, 2026, 7:42 p.m.