Triple

T15619674
Position Surface form Disambiguated ID Type / Status
Subject Freising E375515 entity
Predicate hasPart P35 FINISHED
Object Weihenstephan E541354 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: Weihenstephan | Statement: [Freising, hasPart, Weihenstephan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weihenstephan
Context triple: [Freising, hasPart, Weihenstephan]
  • A. Freising-Weihenstephan
    Freising-Weihenstephan is a district of the Bavarian town of Freising known as a major center for life sciences, agriculture, and brewing research and education.
  • B. Benediktbeuern
    Benediktbeuern is a Bavarian village in southern Germany known for its historic Benedictine monastery and scenic Alpine foothills setting.
  • C. Weihenstephan Abbey chosen
    Weihenstephan Abbey is a historic Benedictine monastery in Freising, Bavaria, renowned as the site of what is often considered the world’s oldest continuously operating brewery.
  • D. Wolfratshausen
    Wolfratshausen is a Bavarian town in southern Germany known for its historic old town, riverside setting on the Loisach and Isar, and proximity to Munich and the Alps.
  • E. Kaufbeuren
    Kaufbeuren is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and traditional Swabian culture.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3b643c819093230df6cfe440b9 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.