Triple

T23273892
Position Surface form Disambiguated ID Type / Status
Subject Bad Reputation E588362 entity
Predicate recordedIn P4490 FINISHED
Object Paris
Paris is the capital and most populous city of France, renowned for its art, fashion, gastronomy, and iconic landmarks such as the Eiffel Tower and the Louvre.
 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: [Bad Reputation, recordedIn, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paris
Context triple: [Bad Reputation, recordedIn, 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 an American hip hop artist and producer known for his politically charged, socially conscious lyrics and militant themes.
  • D. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • 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: [Bad Reputation, recordedIn, Paris]
Generated description
Paris is the capital and most populous city of France, renowned for its art, fashion, gastronomy, and iconic landmarks such as the Eiffel Tower and the Louvre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paris
Target entity description: Paris is the capital and most populous city of France, renowned for its art, fashion, gastronomy, and iconic landmarks such as the Eiffel Tower and the Louvre.
  • 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 a hit electronic-pop single by The Chainsmokers, known for its nostalgic lyrics and mellow, atmospheric production.
  • E. Paris
    Paris is an American hip hop artist and producer known for his politically charged, socially conscious lyrics and militant themes.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19575d8988190a8f8496f9110ce8c completed April 29, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f35955081908a28f2e5925a28ab completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4009a90c819080c32c5a3363d92e completed May 19, 2026, 10:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c40a9e6008190ad61feba7f47fea9 completed May 19, 2026, 10:51 a.m.
Created at: April 17, 2026, 4:47 p.m.