Triple

T7524832
Position Surface form Disambiguated ID Type / Status
Subject Sonia Rykiel E177864 entity
Predicate headquartersLocationOfFoundedEntity P37434 FINISHED
Object Paris, France E568 NE FINISHED

How this triple was built (3 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, France | Statement: [Sonia Rykiel, headquartersLocationOfFoundedEntity, Paris, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris, France
Context triple: [Sonia Rykiel, headquartersLocationOfFoundedEntity, Paris, France]
  • 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 major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • C. Paris
    Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • D. 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.
  • E. Parigi
    Parigi is a coastal town that serves as the administrative center of Parigi Moutong Regency in Central Sulawesi, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: headquartersLocationOfFoundedEntity
Context triple: [Sonia Rykiel, headquartersLocationOfFoundedEntity, Paris, France]
  • A. headquartersLocationOfFoundedOrganization chosen
    Indicates that a location serves as the headquarters of an organization that was founded there.
  • B. headquartersFoundedAt
    Indicates that an organization's headquarters was originally established at a specific location.
  • C. headquartersLocation
    Indicates the place where an organization’s main administrative center or principal office is located.
  • D. foundingLocationOfFoundedOrganization
    Indicates the place where an organization was originally established or founded.
  • E. hasOrganizationHeadquartered
    Indicates that an organization has its main headquarters located in a specified place.
  • F. None of above.

Provenance (4 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c61b508190b582f54ecbb387e3 completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86831f43c8190a3fb1992a4c5245a completed March 28, 2026, 11:45 p.m.
PD Predicate disambiguation batch_69c6f4d6bb808190bdd04499fd3bceb6 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:46 p.m.