Triple

T738166
Position Surface form Disambiguated ID Type / Status
Subject Erling-Andechs E14980 entity
Predicate hasLandmark P105 FINISHED
Object Andechs Abbey E90654 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: Andechs Abbey | Statement: [Erling-Andechs, hasLandmark, Andechs Abbey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andechs Abbey
Context triple: [Erling-Andechs, hasLandmark, Andechs Abbey]
  • A. Andechs Abbey chosen
    Andechs Abbey is a Benedictine monastery in Bavaria, Germany, renowned as a major pilgrimage site and for its historic brewery and scenic hilltop setting above the Ammersee.
  • B. Klosterlangheim
    Klosterlangheim is a village and former monastery site that is now a district of the town of Lichtenfels in Bavaria, Germany.
  • C. Fossanova Abbey
    Fossanova Abbey is a medieval Cistercian monastery in Italy, renowned as the place where the theologian and philosopher St. Thomas Aquinas died.
  • D. Wartburg Castle
    Wartburg Castle is a medieval fortress in Eisenach, Germany, famed as the place where Martin Luther translated the New Testament into German while in hiding.
  • E. Ulm Minster
    Ulm Minster is a famous Gothic church in Ulm, Germany, renowned for having the tallest church steeple in the world.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5f1c9888190b2817138c6893cfe completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a673329a0c8190b725b9863ba4c162 completed March 3, 2026, 5:35 a.m.
Created at: March 1, 2026, 7:37 p.m.