Triple

T10657474
Position Surface form Disambiguated ID Type / Status
Subject Affoltern E251129 entity
Predicate locatedNear P294 FINISHED
Object Oerlikon
Oerlikon is a district in the north of Zurich, Switzerland, known as a major residential, commercial, and transportation hub of the city.
E877835 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: Oerlikon | Statement: [Affoltern, locatedNear, Oerlikon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oerlikon
Context triple: [Affoltern, locatedNear, Oerlikon]
  • A. Oerlikon Contraves
    Oerlikon Contraves is a Swiss defense company renowned for its anti-aircraft and air-defense gun systems used by militaries worldwide.
  • B. Steyr
    Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
  • C. Ilster
    The Ilster is a small river in Lower Saxony, Germany, known as one of the headwater streams contributing to the Örtze river system.
  • D. Rheinmetall
    Rheinmetall is a major German defense and automotive company best known for producing advanced military technologies, including the main armament and systems for modern battle tanks.
  • E. Franchi
    Franchi is an Italian firearms manufacturer best known for its shotguns, operating as a subsidiary of the Beretta Holding group.
  • 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: Oerlikon
Triple: [Affoltern, locatedNear, Oerlikon]
Generated description
Oerlikon is a district in the north of Zurich, Switzerland, known as a major residential, commercial, and transportation hub of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oerlikon
Target entity description: Oerlikon is a district in the north of Zurich, Switzerland, known as a major residential, commercial, and transportation hub of the city.
  • A. Oerlikon Contraves
    Oerlikon Contraves is a Swiss defense company renowned for its anti-aircraft and air-defense gun systems used by militaries worldwide.
  • B. Steyr
    Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
  • C. Ilster
    The Ilster is a small river in Lower Saxony, Germany, known as one of the headwater streams contributing to the Örtze river system.
  • D. Rheinmetall
    Rheinmetall is a major German defense and automotive company best known for producing advanced military technologies, including the main armament and systems for modern battle tanks.
  • E. Franchi
    Franchi is an Italian firearms manufacturer best known for its shotguns, operating as a subsidiary of the Beretta Holding group.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6e0157dbc81909ef7d61f65b2fd93 completed April 8, 2026, 11:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a7aa490819094c7eaf3fc5e2c43 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97ef6d9a881909d688cb8c948f491 completed April 10, 2026, 10:51 p.m.
NED2 Entity disambiguation (via description) batch_69d97f700f188190808fcf2f14403980 completed April 10, 2026, 10:53 p.m.
Created at: April 8, 2026, 9:07 p.m.