Triple

T6585501
Position Surface form Disambiguated ID Type / Status
Subject Survival E159208 entity
Predicate notableSong P4 FINISHED
Object Africa Unite E603986 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: Africa Unite | Statement: [Survival, notableSong, Africa Unite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Africa Unite
Context triple: [Survival, notableSong, Africa Unite]
  • A. Africa Unite chosen
    "Africa Unite" is a socially conscious reggae song by Bob Marley & The Wailers that calls for pan-African unity and liberation.
  • B. One Africa, One Voice
    One Africa, One Voice is the unifying slogan of the Pan-African Parliament, expressing its vision of a single, collective African voice in continental governance and decision-making.
  • C. God Bless Africa
    God Bless Africa is the English translation of the title of "Nkosi Sikelel' iAfrika," a famous African hymn that has served as a national or pan-African anthem in several African countries.
  • D. Jive Afrika
    Jive Afrika is a music label under the Zomba Group of Companies, known for producing and promoting African artists and recordings.
  • E. Africa Screams
    Africa Screams is a 1949 comedy adventure film starring the iconic duo Abbott and Costello, known for its jungle-themed antics and slapstick humor.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeae89308190a26cf090a9b6cf2b completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42b72c481909f582f4f5b07e3d9 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:54 p.m.