Triple

T17857607
Position Surface form Disambiguated ID Type / Status
Subject Aletschfirn E445981 entity
Predicate near P350 FINISHED
Object Mönch 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: Mönch | Statement: [Aletschfirn, near, Mönch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mönch
Context triple: [Aletschfirn, near, Mönch]
  • A. Mönch
    Mönch is a striking sculptural work by German artist Katharina Fritsch, known for its life-sized, monochromatic figure of a monk that evokes themes of spirituality, anonymity, and psychological unease.
  • B. Mönch chosen
    Mönch is a prominent mountain peak in the Swiss Bernese Alps, forming part of the famous Eiger–Mönch–Jungfrau trio.
  • C. Mönchsdeggingen
    Mönchsdeggingen is a small rural municipality in the Donau-Ries district of Bavaria, Germany, known for its location within the Nördlinger Ries impact crater region.
  • D. The Monastery
    "The Monastery" is a historical novel by Sir Walter Scott set on the turbulent Scottish-English border during the Reformation, blending romance, politics, and the supernatural.
  • E. The Monastery
    The Monastery is a monumental rock-cut façade and temple in the ancient Nabatean city of Petra, Jordan, renowned for its massive scale and striking Hellenistic-influenced architecture.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4978d05708190838386d37eb157bc completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 10:17 a.m.