Triple

T18915408
Position Surface form Disambiguated ID Type / Status
Subject Oetz E462711 entity
Predicate hasAttraction P105 FINISHED
Object Acherkogel mountain 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: Acherkogel mountain | Statement: [Oetz, hasAttraction, Acherkogel mountain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Acherkogel mountain
Context triple: [Oetz, hasAttraction, Acherkogel mountain]
  • A. Acherkogel mountain chosen
    Acherkogel mountain is a prominent peak in the Stubai Alps of Tyrol, Austria, known for its rugged terrain and popularity among experienced hikers and climbers.
  • B. Gaislachkogel
    Gaislachkogel is a prominent Alpine peak in the Ötztal Alps of Tyrol, Austria, known for its ski area, panoramic views, and the James Bond-themed 007 ELEMENTS installation near its summit.
  • C. Wendelstein mountain
    Wendelstein mountain is a prominent peak in the Bavarian Alps of southern Germany, known for its panoramic views, observatory, and historic cogwheel railway.
  • D. Schrankogel
    Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
  • E. Risserkogel
    Risserkogel is a prominent mountain peak in the Bavarian Alps of Germany, popular with hikers for its panoramic summit views.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c62685408190b17280147e1c247a completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.