Triple

T16543352
Position Surface form Disambiguated ID Type / Status
Subject Sigismund Porges E401876 entity
Predicate notableAscent P6286 FINISHED
Object Mönch E92183 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: Mönch | Statement: [Sigismund Porges, notableAscent, Mönch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mönch
Context triple: [Sigismund Porges, notableAscent, Mönch]
  • A. Mönch chosen
    Mönch is a prominent mountain peak in the Swiss Bernese Alps, forming part of the famous Eiger–Mönch–Jungfrau trio.
  • B. 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.
  • 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 monumental rock-cut façade and temple in the ancient Nabatean city of Petra, Jordan, renowned for its massive scale and striking Hellenistic-influenced architecture.
  • E. 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.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455fab34819086c77ff45b85f5db completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b3248c8190b63793bfc072aa4f completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.