Triple

T18841827
Position Surface form Disambiguated ID Type / Status
Subject Sterzing E460816 entity
Predicate hasOfficialName P66 FINISHED
Object Sterzing 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: Sterzing | Statement: [Sterzing, hasOfficialName, Sterzing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sterzing
Context triple: [Sterzing, hasOfficialName, Sterzing]
  • A. Sterzing chosen
    Sterzing is a small medieval town in South Tyrol, northern Italy, known for its well-preserved historic center and Alpine surroundings.
  • B. Stannern
    Stannern is a village in the Czech Republic (now known as Stonařov) historically notable as the birthplace of Austrian Nazi politician Arthur Seyss-Inquart.
  • C. Stollberg
    Stollberg is a historic town in Saxony, Germany, known for its role in the Ore Mountains mining region and its traditional mining heritage.
  • D. Estreicher
    Estreicher is a Polish family name most notably associated with Karol Estreicher Sr., a prominent 19th-century bibliographer and historian of Polish literature.
  • E. Thierstein
    Thierstein is a district in the canton of Solothurn in northwestern Switzerland, comprising several municipalities near the French border.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ea35c88190af6659551ad18130 completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.