Triple

T16869174
Position Surface form Disambiguated ID Type / Status
Subject Paris–Amsterdam high-speed corridor E410123 entity
Predicate connectsCapitalCities P105217 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: [Paris–Amsterdam high-speed corridor, connectsCapitalCities, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Paris–Amsterdam high-speed corridor, connectsCapitalCities, 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: connectsCapitalCities
Context triple: [Paris–Amsterdam high-speed corridor, connectsCapitalCities, Paris]
  • A. connectsCapitalCity
    Indicates a relationship where an entity is linked or associated specifically with a capital city.
  • B. connectsCapitalCityOf
    Indicates a relationship where something links or provides a direct connection to the capital city of a specified region, country, or administrative entity.
  • C. connectsCapitalsOf chosen
    Indicates a relationship where something serves as a link or route between the capital cities of two regions or countries.
  • D. countryCapitalConnection
    Indicates a relationship where a specific city serves as the official capital of a particular country.
  • E. connectsCapitalOf
    Indicates a relationship where one entity serves as the capital city of another entity, linking the capital to the political or administrative unit it represents.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b50a82348190b3e33fd558aa3c7f completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a27f548190963c35f40f4420f8 completed May 10, 2026, 6 p.m.
PD Predicate disambiguation batch_69e32b8cbb048190878a259cc5be960e completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:24 a.m.