Triple

T8338352
Position Surface form Disambiguated ID Type / Status
Subject Styria E195845 entity
Predicate hasCity P316 FINISHED
Object Weiz
Weiz is a small industrial and cultural town in the Austrian state of Styria, known for its engineering companies and picturesque setting near the Alps.
E728310 NE FINISHED

How this triple was built (4 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: Weiz | Statement: [Styria, hasCity, Weiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weiz
Context triple: [Styria, hasCity, Weiz]
  • A. Beran
    Beran is a Czech surname most notably borne by Rudolf Beran, a prominent Czechoslovak politician and prime minister before and during the early years of World War II.
  • B. Weidling
    Weidling is a German surname most notably associated with General Helmuth Weidling, the last commander of Berlin’s defenses in World War II.
  • C. Bavier
    Bavier is the surname of Frances Bavier, the American actress best known for playing Aunt Bee on the classic television series "The Andy Griffith Show."
  • D. Fürth
    Fürth is a historic city in northern Bavaria, Germany, known for its well-preserved old town and proximity to Nuremberg within the Franconian metropolitan region.
  • E. Essling
    Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Weiz
Triple: [Styria, hasCity, Weiz]
Generated description
Weiz is a small industrial and cultural town in the Austrian state of Styria, known for its engineering companies and picturesque setting near the Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Weiz
Target entity description: Weiz is a small industrial and cultural town in the Austrian state of Styria, known for its engineering companies and picturesque setting near the Alps.
  • A. Beran
    Beran is a Czech surname most notably borne by Rudolf Beran, a prominent Czechoslovak politician and prime minister before and during the early years of World War II.
  • B. Weidling
    Weidling is a German surname most notably associated with General Helmuth Weidling, the last commander of Berlin’s defenses in World War II.
  • C. Bavier
    Bavier is the surname of Frances Bavier, the American actress best known for playing Aunt Bee on the classic television series "The Andy Griffith Show."
  • D. Fürth
    Fürth is a historic city in northern Bavaria, Germany, known for its well-preserved old town and proximity to Nuremberg within the Franconian metropolitan region.
  • E. Essling
    Essling is a village near Vienna, Austria, historically notable as one of the sites of the 1809 Battle of Aspern-Essling during the Napoleonic Wars.
  • F. None of above. chosen

Provenance (5 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd68e348190a7cb8639a263b50f completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc71a9abc8190881ff73c6fe851cd completed April 2, 2026, 1:32 a.m.
NEDg Description generation batch_69cdcb90bec88190a2c19681405aa13e completed April 2, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69cdcd0fc9488190a0a576c385b9bc1f completed April 2, 2026, 1:57 a.m.
Created at: March 30, 2026, 5:57 p.m.