Triple

T15103400
Position Surface form Disambiguated ID Type / Status
Subject Hardbrücke E360725 entity
Predicate connects P390 FINISHED
Object Aussersihl
Aussersihl is a vibrant, historically working-class district in Zurich known for its cultural diversity, nightlife, and urban character.
 E1137157 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: Aussersihl | Statement: [Hardbrücke, connects, Aussersihl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aussersihl
Context triple: [Hardbrücke, connects, Aussersihl]
  • A. Kleinschwarzach
    Kleinschwarzach is a small locality that forms part of the municipality of Metten in Bavaria, Germany.
  • B. Dettelbach
    Dettelbach is a small historic town in the Franconian wine-growing region of northern Bavaria, Germany, known for its medieval architecture and surrounding vineyards.
  • C. Eisbach
    The Eisbach is a small, fast-flowing man-made river in Munich, Germany, famous for its standing wave that attracts urban surfers year-round.
  • D. Frauendorfer Bach
    Frauendorfer Bach is a small stream in Bavaria, Germany, that flows through the region’s rural landscape before joining the river Alz.
  • E. Hasslach River
    The Hasslach River is a watercourse in northern Bavaria, Germany, that flows through the Kronach district and contributes to the region’s local river system.
  • 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: Aussersihl
Triple: [Hardbrücke, connects, Aussersihl]
Generated description
Aussersihl is a vibrant, historically working-class district in Zurich known for its cultural diversity, nightlife, and urban character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aussersihl
Target entity description: Aussersihl is a vibrant, historically working-class district in Zurich known for its cultural diversity, nightlife, and urban character.
  • A. Kleinschwarzach
    Kleinschwarzach is a small locality that forms part of the municipality of Metten in Bavaria, Germany.
  • B. Dettelbach
    Dettelbach is a small historic town in the Franconian wine-growing region of northern Bavaria, Germany, known for its medieval architecture and surrounding vineyards.
  • C. Eisbach
    The Eisbach is a small, fast-flowing man-made river in Munich, Germany, famous for its standing wave that attracts urban surfers year-round.
  • D. Frauendorfer Bach
    Frauendorfer Bach is a small stream in Bavaria, Germany, that flows through the region’s rural landscape before joining the river Alz.
  • E. Hasslach River
    The Hasslach River is a watercourse in northern Bavaria, Germany, that flows through the Kronach district and contributes to the region’s local river system.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae274f6881908931569efc09996e completed May 9, 2026, 3:46 a.m.
NEDg Description generation batch_69feb06643508190a21939ff3e1389c6 completed May 9, 2026, 3:56 a.m.
NED2 Entity disambiguation (via description) batch_69feb0d114388190b2b16703003da446 completed May 9, 2026, 3:58 a.m.
Created at: April 10, 2026, 3:05 a.m.