Triple

T5562787
Position Surface form Disambiguated ID Type / Status
Subject Hinteri Egg E145804 entity
Predicate near P350 FINISHED
Object Langenbruck E166452 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: Langenbruck | Statement: [Hinteri Egg, near, Langenbruck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langenbruck
Context triple: [Hinteri Egg, near, Langenbruck]
  • A. Langensalza
    Langensalza is a historic town in Thuringia, central Germany, known for its spa facilities and as the site of several notable battles.
  • B. Mülbracht
    Mülbracht is a historical locality in the Holy Roman Empire known primarily as the birthplace of the Dutch Golden Age engraver and painter Hendrick Goltzius.
  • C. Köstendorf
    Köstendorf is a small Austrian municipality in the state of Salzburg, known for its rural character and proximity to the city of Salzburg.
  • D. Langendorf chosen
    Langendorf is a municipality in the canton of Solothurn in northwestern Switzerland.
  • E. Königstein
    Königstein is a small historic town in Saxon Switzerland, eastern Germany, best known for the imposing Königstein Fortress overlooking the Elbe River.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0201ba0e88190acd5bfaa5973f2d8 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d7e791c8190bf493d9a3334a5bd completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:36 p.m.