Triple

T20439914
Position Surface form Disambiguated ID Type / Status
Subject Feldkirch E501355 entity
Predicate hasSubdivision P747 FINISHED
Object Gisingen
Gisingen is a district of the Austrian city of Feldkirch in the state of Vorarlberg.
E1430760 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: Gisingen | Statement: [Feldkirch, hasSubdivision, Gisingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gisingen
Context triple: [Feldkirch, hasSubdivision, Gisingen]
  • A. Bisingen
    Bisingen is a municipality in the Zollernalb district of Baden-Württemberg, Germany, known for its proximity to the historic Hohenzollern Castle.
  • B. Ingessana
    The Ingessana are an indigenous ethnic group of the southeastern Sudanese highlands, known for their distinct language, agro-pastoral lifestyle, and history of resistance to external domination.
  • C. Gnesen
    Gnesen is a historic town in western Poland, known as one of the country’s earliest political and religious centers.
  • D. Gilserberg
    Gilserberg is a small municipality in the German state of Hesse, known for its rural character and location within the Schwalm-Eder district.
  • E. Jogne
    Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
  • 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: Gisingen
Triple: [Feldkirch, hasSubdivision, Gisingen]
Generated description
Gisingen is a district of the Austrian city of Feldkirch in the state of Vorarlberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gisingen
Target entity description: Gisingen is a district of the Austrian city of Feldkirch in the state of Vorarlberg.
  • A. Bisingen
    Bisingen is a municipality in the Zollernalb district of Baden-Württemberg, Germany, known for its proximity to the historic Hohenzollern Castle.
  • B. Ingessana
    The Ingessana are an indigenous ethnic group of the southeastern Sudanese highlands, known for their distinct language, agro-pastoral lifestyle, and history of resistance to external domination.
  • C. Gnesen
    Gnesen is a historic town in western Poland, known as one of the country’s earliest political and religious centers.
  • D. Gilserberg
    Gilserberg is a small municipality in the German state of Hesse, known for its rural character and location within the Schwalm-Eder district.
  • E. Jogne
    Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
  • 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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685f20fe08190b9370b523a20153d completed April 20, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0883fd1af88190a34aef615ec3a23e completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a0884d316148190b1fe155fc2dfbb7b completed May 16, 2026, 2:53 p.m.
NED2 Entity disambiguation (via description) batch_6a088565cbcc81909b4bbc286d272ef6 completed May 16, 2026, 2:55 p.m.
Created at: April 16, 2026, 11:31 a.m.