Triple

T467026
Position Surface form Disambiguated ID Type / Status
Subject Madame X E8469 entity
Predicate depictsResidence P15073 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: [Madame X, depictsResidence, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Madame X, depictsResidence, 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. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • C. Rouen
    Rouen is a historic city in northern France renowned for its medieval architecture, Gothic cathedral, and association with figures like Joan of Arc and the Impressionist painter Claude Monet.
  • D. Toulouse
    Toulouse is a major city in southwestern France known for its aerospace industry, historic pink-brick architecture, and vibrant university and cultural life.
  • E. Strasbourg
    Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
  • 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: depictsResidence
Context triple: [Madame X, depictsResidence, Paris]
  • A. residence
    Indicates that one entity lives at, is based in, or habitually occupies the location represented by the other entity.
  • B. residenceType
    Indicates the kind or category of dwelling or living arrangement associated with an entity.
  • C. fictionalResidence
    Indicates that one entity is the place where another entity lives or is based within a fictional or imaginary context.
  • D. formerResidenceOf
    Indicates that a location was once the place where a person or entity lived or was based, but is no longer their current residence.
  • E. residencyPattern
    Indicates the typical way an entity resides or occupies a place over time, such as its usual location, duration, or frequency of stay.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd831088190b6ac6a56b34a8816 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e023ac5c8190b0233471d1d4eece completed March 2, 2026, 12:56 a.m.
PD Predicate disambiguation batch_69a2edebb3988190907992a584b4e260 completed Feb. 28, 2026, 1:30 p.m.
PDg Predicate description generation batch_69a2ef257a548190a96bfa0cf6183976 completed Feb. 28, 2026, 1:35 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.