Triple

T21716996
Position Surface form Disambiguated ID Type / Status
Subject Altstadt (Zürich) E536055 entity
Predicate contains P35 FINISHED
Object Schipfe
Schipfe is one of Zurich’s oldest riverside quarters, a historic neighborhood along the Limmat known for its picturesque houses, small shops, and tranquil atmosphere.
 E1498654 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: Schipfe | Statement: [Altstadt (Zürich), contains, Schipfe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schipfe
Context triple: [Altstadt (Zürich), contains, Schipfe]
  • A. Crombach
    Crombach is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
  • B. Schwansen
    Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
  • C. Schippenbeil
    Schippenbeil is the former German name for the town now known as Sępopol in northeastern Poland.
  • D. Voßwinkel
    Voßwinkel is a village and district (Ortsteil) of the city of Arnsberg in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • E. Rinkerode
    Rinkerode is a village in North Rhine-Westphalia, Germany, known as a district of the town of Drensteinfurt in the Münster region.
  • 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: Schipfe
Triple: [Altstadt (Zürich), contains, Schipfe]
Generated description
Schipfe is one of Zurich’s oldest riverside quarters, a historic neighborhood along the Limmat known for its picturesque houses, small shops, and tranquil atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schipfe
Target entity description: Schipfe is one of Zurich’s oldest riverside quarters, a historic neighborhood along the Limmat known for its picturesque houses, small shops, and tranquil atmosphere.
  • A. Crombach
    Crombach is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
  • B. Schwansen
    Schwansen is a rural peninsula in northern Germany situated between the Schlei inlet and the Eckernförde Bay in the state of Schleswig-Holstein.
  • C. Schippenbeil
    Schippenbeil is the former German name for the town now known as Sępopol in northeastern Poland.
  • D. Voßwinkel
    Voßwinkel is a village and district (Ortsteil) of the city of Arnsberg in the Hochsauerland region of North Rhine-Westphalia, Germany.
  • E. Rinkerode
    Rinkerode is a village in North Rhine-Westphalia, Germany, known as a district of the town of Drensteinfurt in the Münster region.
  • 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96ab4c88190b76f4a6b7c855039 completed April 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24b5bb58819095b009a2b66487cb completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a270eedcc8190b04b3c6b662dc0db completed May 17, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_6a0a27d9bb248190b65da5cb50c332ec completed May 17, 2026, 8:40 p.m.
Created at: April 16, 2026, 6:47 p.m.