Triple

T17851576
Position Surface form Disambiguated ID Type / Status
Subject Zittau E445817 entity
Predicate near P350 FINISHED
Object Oybin 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: Oybin | Statement: [Zittau, near, Oybin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oybin
Context triple: [Zittau, near, Oybin]
  • A. Oybin chosen
    Oybin is a picturesque village and spa resort in eastern Saxony, Germany, known for its distinctive sandstone mountain crowned by the ruins of a medieval castle and monastery.
  • B. Oeyo
    Oeyo was a prominent noblewoman of Japan’s late Sengoku and early Edo periods, best known as the daughter of Azai Nagamasa and Oichi and the mother of the third Tokugawa shogun, Iemitsu.
  • C. Böri
    Böri was a lesser-known member of the Mongol imperial family, recognized primarily as a sibling of the Great Khan Möngke.
  • D. Oleby
    Oleby is a small locality in western Sweden situated within Torsby Municipality in Värmland County.
  • E. Rennebu
    Rennebu is a rural municipality in Trøndelag county, Norway, known for its distinctive Y-shaped church and scenic valley landscapes.
  • 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_69e48fff6c288190a2b5e60b66c03ddc completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:17 a.m.