Triple

T37743751
Position Surface form Disambiguated ID Type / Status
Subject Up-country Tamils E940790 entity
Predicate citizenshipLegislation P51326 FINISHED
Object affected by Ceylon Citizenship Act of 1948 LITERAL FINISHED

How this triple was built (2 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: affected by Ceylon Citizenship Act of 1948 | Statement: [Up-country Tamils, citizenshipLegislation, affected by Ceylon Citizenship Act of 1948]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: citizenshipLegislation
Context triple: [Up-country Tamils, citizenshipLegislation, affected by Ceylon Citizenship Act of 1948]
  • A. nationalLegislation
    Indicates that an entity is a law or legal measure enacted at the national level by a country’s central legislative authority.
  • B. leaderCitizenship
    Indicates that a leader holds citizenship in, or is a national of, a particular country or political entity.
  • C. citizenshipIssue chosen
    Indicates that there is a problem, dispute, or complication concerning an entity’s citizenship status or rights.
  • D. areaOfLegislation
    Indicates that one entity defines, concerns, or governs the legal domain or subject matter covered by another entity.
  • E. citizenshipContext
    Indicates the legal or social circumstances under which an entity holds or is granted citizenship in a particular state or jurisdiction.
  • F. None of above.

Provenance (3 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_69f76ee0e32c8190b40a3b4cf590337c completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaef0cec881908c2742d77d145901 completed May 6, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69fbadf632ec8190b14991c971258307 completed May 6, 2026, 9:09 p.m.
Created at: May 3, 2026, 4:19 p.m.