Triple

T2587119
Position Surface form Disambiguated ID Type / Status
Subject Catherine of Braganza E58030 entity
Predicate dowryIncluded P26744 FINISHED
Object Bombay E9753 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: Bombay | Statement: [Catherine of Braganza, dowryIncluded, Bombay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bombay
Context triple: [Catherine of Braganza, dowryIncluded, Bombay]
  • A. Mumbai chosen
    Mumbai is a densely populated coastal metropolis in western India that serves as the country’s financial hub and the center of its film industry, Bollywood.
  • B. Calcutta
    Calcutta, now known as Kolkata, is a major cultural and commercial metropolis in eastern India that served as the capital of British India until the early 20th century.
  • C. Ahmedabad
    Ahmedabad is a major city in the western Indian state of Gujarat, known for its rich history, textile industry, and role as an important economic and cultural center.
  • D. Delhi
    Delhi is a major metropolitan region and the capital territory of India, known for its political significance, rich history, and diverse culture.
  • E. Pune
    Pune is a major cultural, educational, and IT hub in the western Indian state of Maharashtra, known for its universities, historical significance, and rapidly growing urban economy.
  • 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: dowryIncluded
Context triple: [Catherine of Braganza, dowryIncluded, Bombay]
  • A. dowry chosen
    Indicates the transfer of wealth or property from a bride’s family to the groom or his family as part of a marriage arrangement.
  • B. marriageType
    Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
  • C. marries
    Indicates that one entity enters into a legally or socially recognized marital union with another entity.
  • D. marriageCustom
    Indicates a culturally recognized set of practices, rules, or traditions that govern how marriages are formed, conducted, or maintained between individuals or groups.
  • E. marriedInto
    Indicates that one entity became connected to another’s family or group through marriage, rather than by birth or prior membership.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3f8a3888190889c537e6df07305 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69b261c141f88190aaf340c92499b88b completed March 12, 2026, 6:48 a.m.
PD Predicate disambiguation batch_69abd0d19308819089ee942513d567a4 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:49 p.m.