Triple

T9488117
Position Surface form Disambiguated ID Type / Status
Subject inner ring of Paris E228813 entity
Predicate urbanContinuityWith P68484 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: [inner ring of Paris, urbanContinuityWith, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [inner ring of Paris, urbanContinuityWith, Paris]
  • A. 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.
  • B. Paris chosen
    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 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: urbanContinuityWith
Context triple: [inner ring of Paris, urbanContinuityWith, Paris]
  • A. urbanContinuity chosen
    Indicates that two or more urban areas are spatially connected or form a continuous built-up zone without significant gaps.
  • B. hasUrbanContinuity
    Indicates that there is a continuous, uninterrupted urbanized area or built-up fabric between the related entities.
  • C. urbanSuccessor
    Indicates that one urban area directly follows or replaces another in a temporal or developmental sequence, serving as its successor in an urban context.
  • D. urbanMorphology
    Indicates the spatial form, structure, and layout relationships that characterize the physical configuration of an urban area.
  • E. urbanAdaptation
    Indicates how well an entity adjusts its behavior, structure, or function to survive and operate effectively in urban environments.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d178e38d488190a4bc594b12a44baf completed April 4, 2026, 8:47 p.m.
PD Predicate disambiguation batch_69cca561e6b0819090aa795f3c3a2083 completed April 1, 2026, 4:56 a.m.
Created at: March 30, 2026, 7:55 p.m.