Triple

T1859165
Position Surface form Disambiguated ID Type / Status
Subject Hilbert problems E41774 entity
Predicate presentedInCity P4490 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: [Hilbert problems, presentedInCity, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Hilbert problems, presentedInCity, 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. 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.
  • D. Palaiseau
    Palaiseau is a suburban commune in the southern outskirts of Paris, France, known for hosting major scientific and engineering institutions.
  • E. Boulogne-Billancourt
    Boulogne-Billancourt is a densely populated suburban city just southwest of central Paris, known as a major economic and media hub in the Île-de-France region.
  • 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: presentedInCity
Context triple: [Hilbert problems, presentedInCity, Paris]
  • A. exhibitedInCity
    Indicates that an exhibition or display of an entity took place within a specific city.
  • B. announcedInCity
    Indicates that an announcement or declaration was formally made within a particular city.
  • C. basedInCity
    Indicates that an entity has its primary location, headquarters, or main operations situated in a specified city.
  • D. representedCity
    Indicates that an entity serves as the official representative or proxy for a particular city.
  • E. presentedIn chosen
    Indicates that something is shown, displayed, or formally introduced within a particular context, medium, event, or setting.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb231de14819091da3a20ed03c430 completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3bef0648190a7fd6ae38b41038e completed March 8, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69abafde4598819099d8229128348fd3 completed March 7, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:33 p.m.