Triple

T19035354
Position Surface form Disambiguated ID Type / Status
Subject Johannisberg E465852 entity
Predicate hasAccessPoint P1985 FINISHED
Object Franz-Josefs-Höhe 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: Franz-Josefs-Höhe | Statement: [Johannisberg, hasAccessPoint, Franz-Josefs-Höhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franz-Josefs-Höhe
Context triple: [Johannisberg, hasAccessPoint, Franz-Josefs-Höhe]
  • A. Franz-Josefs-Höhe chosen
    Franz-Josefs-Höhe is a famous panoramic viewpoint in the Austrian Alps offering close-up views of the Grossglockner and the Pasterze Glacier.
  • B. Schrankogel
    Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
  • C. Brennkogel
    Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
  • D. 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.
  • E. 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.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7438f748190912c28912e6b97a6 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.