Triple

T21379470
Position Surface form Disambiguated ID Type / Status
Subject Grigny E527303 entity
Predicate regionCapital P16248 FINISHED
Object Paris
Paris is the capital and largest city of France, renowned for its historic architecture, cultural institutions, and global influence in art, fashion, and politics.
 E568 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: Paris | Statement: [Grigny, regionCapital, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paris
Context triple: [Grigny, regionCapital, Paris]
  • A. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • D. Paris
    Paris is an American hip hop artist and producer known for his politically charged, socially conscious lyrics and militant themes.
  • E. Paris
    Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • 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: Paris
Triple: [Grigny, regionCapital, Paris]
Generated description
Paris is the capital and largest city of France, renowned for its historic architecture, cultural institutions, and global influence in art, fashion, and politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paris
Target entity description: Paris is the capital and largest city of France, renowned for its historic architecture, cultural institutions, and global influence in art, fashion, and politics.
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • D. Paris
    Paris is an American hip hop artist and producer known for his politically charged, socially conscious lyrics and militant themes.
  • E. Paris
    "Paris" is a hit electronic-pop single by The Chainsmokers, known for its nostalgic lyrics and mellow, atmospheric production.
  • F. None of above.

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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cc2b5c8190aa5f20f920523fe9 completed April 22, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b4122eb48190bcfccba3e1b2e9c3 completed May 17, 2026, 12:26 p.m.
NEDg Description generation batch_6a09b4e8562c8190b3f4eff6dc8c09b5 completed May 17, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_6a09b79237908190bf90b4316b58c7b1 completed May 17, 2026, 12:41 p.m.
Created at: April 16, 2026, 5:11 p.m.