Triple

T4091561
Position Surface form Disambiguated ID Type / Status
Subject Labori E87714 entity
Predicate memberOf P10 FINISHED
Object Paris Bar
The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
 E413110 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 Bar | Statement: [Labori, memberOf, Paris Bar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paris Bar
Context triple: [Labori, memberOf, Paris Bar]
  • A. Parigi
    Parigi is a coastal town that serves as the administrative center of Parigi Moutong Regency in Central Sulawesi, Indonesia.
  • B. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • C. 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.
  • D. Paris Bound
    Paris Bound is a 1927 stage comedy by American playwright Philip Barry that explores modern marriage and sexual freedom among sophisticated New Yorkers.
  • E. Mon Paris
    Mon Paris is a modern, fruity-floral women’s fragrance by Yves Saint Laurent Beauté known for its sweet, sensual scent and chic, contemporary Parisian style.
  • 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 Bar
Triple: [Labori, memberOf, Paris Bar]
Generated description
The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paris Bar
Target entity description: The Paris Bar is the professional association and regulatory body for lawyers practicing in Paris, France.
  • A. Parigi
    Parigi is a coastal town that serves as the administrative center of Parigi Moutong Regency in Central Sulawesi, Indonesia.
  • B. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • C. 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.
  • D. Paris Bound
    Paris Bound is a 1927 stage comedy by American playwright Philip Barry that explores modern marriage and sexual freedom among sophisticated New Yorkers.
  • E. Mon Paris
    Mon Paris is a modern, fruity-floral women’s fragrance by Yves Saint Laurent Beauté known for its sweet, sensual scent and chic, contemporary Parisian style.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcac77788190a5e934fe7c46a1fa completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b69a7908190a53839f7ebfd011c completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56c29c72081909e6ef890dde593dd completed March 14, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69b56ca671d0819097760161832998b0 completed March 14, 2026, 2:11 p.m.
Created at: March 9, 2026, 3:39 p.m.