Triple

T10476249
Position Surface form Disambiguated ID Type / Status
Subject Czartoryski family E247050 entity
Predicate maintainedSalonIn P94237 FINISHED
Object Paris 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 | Statement: [Czartoryski family, maintainedSalonIn, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Czartoryski family, maintainedSalonIn, Paris]
  • 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 budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • 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: maintainedSalonIn
Context triple: [Czartoryski family, maintainedSalonIn, Paris]
  • A. maintainedDuring
    Indicates that a certain condition, state, or relationship continues to hold throughout the duration of a specified event or time interval.
  • B. maintainedFor
    Indicates that something is kept in a particular state, condition, or operation for the benefit, use, or purpose of another entity.
  • C. hasMaintenanceService
    Indicates that an entity receives or is covered by a maintenance service provided by another entity.
  • D. maintainedDespite
    Indicates that a condition, relationship, or state continues to hold or remain in effect even though some opposing, challenging, or changing factor is present.
  • E. soughtToMaintain
    Indicates an entity’s deliberate effort or intention to keep another entity or condition in its existing state over time.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095021e081908dfaa467938c13fd completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90d92510481909135a75b2f582795 completed April 10, 2026, 2:47 p.m.
PD Predicate disambiguation batch_69d4fb84bafc8190819757b93620508a completed April 7, 2026, 12:41 p.m.
PDg Predicate description generation batch_69d4fe058fcc81909428137d9ffd6d90 completed April 7, 2026, 12:52 p.m.
Created at: April 6, 2026, 12:21 p.m.