Triple

T21530901
Position Surface form Disambiguated ID Type / Status
Subject Menelik II of Ethiopia E531222 entity
Predicate mother P120 FINISHED
Object Ijigayehu 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: Ijigayehu | Statement: [Menelik II of Ethiopia, mother, Ijigayehu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ijigayehu
Context triple: [Menelik II of Ethiopia, mother, Ijigayehu]
  • A. Ijigayehu chosen
    Ijigayehu was the mother of Emperor Menelik II of Ethiopia, a key figure in the country's modern history.
  • B. Ihiagwa
    Ihiagwa is a town in Imo State, southeastern Nigeria, known for hosting the main campus of the Federal University of Technology Owerri.
  • C. Iyadaniji
    Iyadaniji is a Buddhist temple in Japan, known as Temple 71 on the Shikoku Pilgrimage route.
  • D. Kijitonyama
    Kijitonyama is a residential and commercial neighborhood in Dar es Salaam, Tanzania, known as one of the urban wards within the Kinondoni District.
  • E. Igigi
    The Igigi are a group of lesser Mesopotamian deities, often depicted as younger gods who served the higher-ranking Anunnaki in ancient Near Eastern mythology.
  • 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_69e0c45e5b8881908ac18fc2f493b114 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee9d08ebf881909574e098404f93fa completed April 26, 2026, 11:17 p.m.
Created at: April 16, 2026, 6:27 p.m.