Triple

T9164267
Position Surface form Disambiguated ID Type / Status
Subject Weißenfels district E219906 entity
Predicate hasMunicipality P847 FINISHED
Object Leißling
Leißling is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its local industry and residential character.
E795291 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: Leißling | Statement: [Weißenfels district, hasMunicipality, Leißling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leißling
Context triple: [Weißenfels district, hasMunicipality, Leißling]
  • A. Schönbichl
    Schönbichl is a small island located in the Eibsee, a picturesque alpine lake at the foot of Germany’s Zugspitze mountain.
  • B. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • C. Mürz
    Mürz is a river in southeastern Austria that flows through the state of Styria and is an important tributary of the Mur River.
  • D. Baltschieder
    Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
  • E. Kaltenbach
    Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
  • 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: Leißling
Triple: [Weißenfels district, hasMunicipality, Leißling]
Generated description
Leißling is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its local industry and residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Leißling
Target entity description: Leißling is a small municipality in the Weißenfels area of Saxony-Anhalt, Germany, known for its local industry and residential character.
  • A. Schönbichl
    Schönbichl is a small island located in the Eibsee, a picturesque alpine lake at the foot of Germany’s Zugspitze mountain.
  • B. Neulengbach
    Neulengbach is a small town in Lower Austria known for its historic center and its location within the Vienna Woods region.
  • C. Mürz
    Mürz is a river in southeastern Austria that flows through the state of Styria and is an important tributary of the Mur River.
  • D. Baltschieder
    Baltschieder is a small Swiss municipality in the canton of Valais, located in the Upper Valais region of the Alps.
  • E. Kaltenbach
    Kaltenbach is a small Austrian village and ski resort town in the Zillertal Valley, known for its access to the Hochzillertal-Hochfügen ski area.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ee64c8190a9a5abafe5d0b086 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0f36f72bc8190bf195a78bafcd873 completed April 4, 2026, 11:18 a.m.
NEDg Description generation batch_69d0f74ebcf881909bc72e94094f6764 completed April 4, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69d0f7b6045c819086fbf07846bedfa2 completed April 4, 2026, 11:36 a.m.
Created at: March 30, 2026, 7:21 p.m.