Triple

T1955310
Position Surface form Disambiguated ID Type / Status
Subject Regent Diamond E42253 entity
Predicate cityLocatedIn P33511 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: [Regent Diamond, cityLocatedIn, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Regent Diamond, cityLocatedIn, 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: cityLocatedIn
Context triple: [Regent Diamond, cityLocatedIn, Paris]
  • A. cityAssociatedWith
    Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
  • B. capitalCityLocatedOn
    Indicates that a capital city is situated on or directly adjacent to a specific geographic feature, such as a river, coast, or lake.
  • C. countryLocatedIn
    Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
  • D. isLocatedOn
    Indicates that one entity exists at or is situated upon the surface or area of another entity.
  • E. cityAsSeatOfGovernment
    Indicates that a city serves as the official seat or location of a government’s central authority or administration.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb353aa8c81909810347f9981a02f completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfb9c69488190abcbbf796176fca5 completed March 8, 2026, 10:43 p.m.
PD Predicate disambiguation batch_69abaff3eda88190b643994cb4dfb8df completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb1ddccbc8190bf2bd8bac673c0c5 completed March 7, 2026, 5:04 a.m.
Created at: March 4, 2026, 7:36 p.m.