Triple

T14713595
Position Surface form Disambiguated ID Type / Status
Subject Luangwa Valley E345617 entity
Predicate supportsSpecies P2036 FINISHED
Object African buffalo E420659 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: African buffalo | Statement: [Luangwa Valley, supportsSpecies, African buffalo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: African buffalo
Context triple: [Luangwa Valley, supportsSpecies, African buffalo]
  • A. Cape buffalo chosen
    The Cape buffalo is a large, powerful African bovine known for its massive curved horns, unpredictable temperament, and status as one of the continent’s most dangerous and iconic wild animals.
  • B. Nandi bull
    Nandi bull is the sacred bull and mount of the Hindu god Shiva, widely revered and depicted in temples and religious art across South Asia.
  • C. Cookson’s wildebeest
    Cookson’s wildebeest is a distinctive, localized subspecies of blue wildebeest found primarily in the Luangwa Valley of Zambia.
  • D. Taurotragus
    Taurotragus is a genus of large African antelopes, including the common and giant elands, known for their impressive size and spiral horns.
  • E. Diceros
    Diceros is a genus of African rhinoceroses best known for including the black rhinoceros.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb845de08190b933d90809cde830 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.