Triple

T34665616
Position Surface form Disambiguated ID Type / Status
Subject Gelawdewos of Ethiopia E890242 entity
Predicate resultOfBattleOfWaynaDaga P19109 FINISHED
Object defeat and death of Ahmad ibn Ibrahim al-Ghazi 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: defeat and death of Ahmad ibn Ibrahim al-Ghazi | Statement: [Gelawdewos of Ethiopia, resultOfBattleOfWaynaDaga, defeat and death of Ahmad ibn Ibrahim al-Ghazi]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: resultOfBattleOfWaynaDaga
Context triple: [Gelawdewos of Ethiopia, resultOfBattleOfWaynaDaga, defeat and death of Ahmad ibn Ibrahim al-Ghazi]
  • A. resultOfBattle chosen
    Indicates that one entity is the outcome or consequence produced by a specific battle or combat event involving another entity.
  • B. resultOfMilitaryCampaign
    Indicates that one event, condition, or outcome occurs as a direct consequence of a specified military campaign.
  • C. battleDate_Battle of Sagrajas
    Indicates the specific calendar date on which the Battle of Sagrajas took place.
  • D. resultOfSiege
    Indicates that one entity is the outcome or consequence produced by a siege conducted against another entity.
  • E. opponentAtBattleOfSanDomingo
    Indicates that two parties were opposing sides in the Battle of San Domingo.
  • 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_69f349d9c59481908b36baa0be093aea completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fd2cf39b0c8190811b8a6fa9410560 completed May 8, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69fd2ad8dd988190a9899701ba00d917 completed May 8, 2026, 12:14 a.m.
Created at: May 1, 2026, 2:04 a.m.