Triple

T15739063
Position Surface form Disambiguated ID Type / Status
Subject Peking to Paris endurance rally E381553 entity
Predicate hasFinishCity P115480 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: [Peking to Paris endurance rally, hasFinishCity, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Peking to Paris endurance rally, hasFinishCity, 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 was an enslaved man held in bondage by George Washington at the President's House in Philadelphia during his presidency.
  • 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: hasFinishCity
Context triple: [Peking to Paris endurance rally, hasFinishCity, Paris]
  • A. hasFinishTown chosen
    Indicates that an entity has a town where an event, process, or journey concludes or is completed.
  • B. hasClosedCity
    Indicates that a country or region contains a city that is restricted or closed to general public access.
  • C. hasTargetCity
    Indicates that something is directed toward, intended for, or specifically associated with a particular city as its target.
  • D. finalCity
    Indicates that a given city is the last or ultimate city associated with an entity within a sequence, process, or journey.
  • E. firstFinalCity
    Indicates that a city is the final destination reached first in some ordered sequence of trips or routes.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0b4d6b5788190883746ee82c799f5 completed April 16, 2026, 10:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9094b4008190bb5c65fa2bd0f0b5 completed May 9, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69e0052c6208819098165d61d378d13b completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:46 a.m.