Triple

T13001785
Position Surface form Disambiguated ID Type / Status
Subject Asamblea Nacional del Poder Popular E322186 entity
Predicate shortName P43 FINISHED
Object ANPP E83535 NE 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: ANPP | Statement: [Asamblea Nacional del Poder Popular, shortName, ANPP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANPP
Context triple: [Asamblea Nacional del Poder Popular, shortName, ANPP]
  • A. ANPP
    ANPP is a former major opposition political party in Nigeria that played a significant role in the country’s Fourth Republic before merging into the All Progressives Congress (APC).
  • B. ANPP chosen
    ANPP is the acronym for Cuba’s unicameral national legislature, the National Assembly of People’s Power.
  • C. ANP
    ANP is the national police force of Afghanistan responsible for law enforcement, public order, and internal security across the country.
  • D. AN
    AN is the official vehicle registration code used on license plates for vehicles registered in Anambra State, Nigeria.
  • E. AN
    AN is the standard abbreviation for Anthropology News, a publication focused on current developments, research, and issues in the field of anthropology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9828748190b2ad9ea29180b7d3 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c103e49c8190a140527f24b5c799 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:47 p.m.