Triple

T12413878
Position Surface form Disambiguated ID Type / Status
Subject Nadar E296585 entity
Predicate openedStudioIn P617 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: [Nadar, openedStudioIn, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Nadar, openedStudioIn, 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. Paris
    "Paris" is a 2017 electronic dance music single by The Chainsmokers that became a major international hit.
  • 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: openedStudioIn
Context triple: [Nadar, openedStudioIn, Paris]
  • A. openedDuring
    Indicates that an entity began operating, became accessible, or was inaugurated within a specified time period or event.
  • B. openedIn chosen
    Indicates that an entity (such as a business, event, or institution) began operating or was inaugurated in a specific time period or location.
  • C. openingStage
    Indicates the initial phase or first part of a process, event, or sequence in which subsequent stages will follow.
  • D. openingByOffice
    Indicates that an office or administrative unit is responsible for initiating or formally opening something (such as a case, process, or record).
  • E. openingTo
    Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94e1888b48190bd750f839a26e99e completed April 10, 2026, 7:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556495208190abd2e3e5aaac57a5 completed May 2, 2026, 7:49 p.m.
PD Predicate disambiguation batch_69d94d354b488190adc83fb4f2770dd5 completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.