Triple

T13506181
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Saint-Julien-en-Genevois E321019 entity
Predicate contains P35 FINISHED
Object Neydens
Neydens is a small commune in southeastern France’s Haute-Savoie department, near the Swiss border and the city of Geneva.
 E1045832 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: Neydens | Statement: [arrondissement of Saint-Julien-en-Genevois, contains, Neydens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neydens
Context triple: [arrondissement of Saint-Julien-en-Genevois, contains, Neydens]
  • A. Neyo
    Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and "Closer" and for writing songs for numerous major artists.
  • B. Neka
    Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
  • C. Nez
    Nez is a music video director known for directing Bruno Mars' hit video "The Lazy Song."
  • D. Nechtan
    Nechtan is a figure from Irish mythology, often depicted as a water or river deity associated with sacred wells and the goddess Boann.
  • E. Neste
    Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
  • 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: Neydens
Triple: [arrondissement of Saint-Julien-en-Genevois, contains, Neydens]
Generated description
Neydens is a small commune in southeastern France’s Haute-Savoie department, near the Swiss border and the city of Geneva.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neydens
Target entity description: Neydens is a small commune in southeastern France’s Haute-Savoie department, near the Swiss border and the city of Geneva.
  • A. Neyo
    Ne-Yo is an American R&B singer, songwriter, and record producer known for hits like "So Sick" and "Closer" and for writing songs for numerous major artists.
  • B. Neka
    Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
  • C. Nez
    Nez is a music video director known for directing Bruno Mars' hit video "The Lazy Song."
  • D. Nechtan
    Nechtan is a figure from Irish mythology, often depicted as a water or river deity associated with sacred wells and the goddess Boann.
  • E. Neste
    Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf8259a08190ada13c4a3078f07d completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548bc188819090773db66b0103a1 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f758a55ddc81909298a37f6ce88236 completed May 3, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7593d74cc819099c5d39ae09c3f70 completed May 3, 2026, 2:18 p.m.
Created at: April 9, 2026, 9:43 p.m.