Triple

T20328882
Position Surface form Disambiguated ID Type / Status
Subject Giggijoch E492413 entity
Predicate near P350 FINISHED
Object Gaislachkogel 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: Gaislachkogel | Statement: [Giggijoch, near, Gaislachkogel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaislachkogel
Context triple: [Giggijoch, near, Gaislachkogel]
  • A. Gaislachkogel chosen
    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.
  • B. Rastkogel
    Rastkogel is a prominent mountain in the Zillertal Alps of Tyrol, Austria, popular for skiing and alpine recreation.
  • C. Oberkotzau
    Oberkotzau is a market town in the Bavarian region of Upper Franconia in Germany, known for its location near the city of Hof and the Saale River.
  • D. Gaisbergspitze
    Gaisbergspitze is the summit of the Gaisberg mountain near Salzburg, Austria, known for its panoramic views over the city and surrounding Alps.
  • E. Kitzsteinhorn
    Kitzsteinhorn is a prominent Alpine mountain in the Austrian state of Salzburg, known for its glacier ski area and panoramic 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e637e48190b5582e97fe1000c0 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.