Triple

T17466263
Position Surface form Disambiguated ID Type / Status
Subject white-necked rockfowl E425284 entity
Predicate nativeTo P410 FINISHED
Object Liberia NE NERFINISHED

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: Liberia | Statement: [white-necked rockfowl, nativeTo, Liberia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liberia
Context triple: [white-necked rockfowl, nativeTo, Liberia]
  • A. Liberia chosen
    Liberia is a West African nation founded by formerly enslaved people from the United States, known for being Africa’s first modern republic and maintaining close historical ties with the U.S.
  • B. Liberia
    Liberia is a city in northwestern Costa Rica that serves as the capital of Guanacaste Province and a major gateway to Pacific beaches and nearby national parks.
  • C. Sierra Leone
    Sierra Leone is a West African nation on the Atlantic coast, known for its diamond resources, diverse cultures, and history as a center for freed slaves.
  • D. La Guinea
    La Guinea is a small settlement located on Isla del Rey in Spain’s Balearic Islands.
  • E. Republic of Guinea
    The Republic of Guinea is a West African country rich in natural resources, particularly bauxite, with a predominantly Muslim population and a history of French colonial rule.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a7e2a481908c32defa3401f848 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.