Triple

T4919550
Position Surface form Disambiguated ID Type / Status
Subject Kirk’s dik-dik E110429 entity
Predicate nativeTo P410 FINISHED
Object Ethiopia E7746 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: Ethiopia | Statement: [Kirk’s dik-dik, nativeTo, Ethiopia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ethiopia
Context triple: [Kirk’s dik-dik, nativeTo, Ethiopia]
  • A. Ethiopia chosen
    Ethiopia is a landlocked country in the Horn of Africa known for its ancient civilizations, unique cultural heritage, and status as one of the few African nations to largely resist long-term European colonization.
  • B. Eritrea
    Eritrea is a country in the Horn of Africa known for its Red Sea coastline, diverse ethnic groups, and complex political history since gaining independence from Ethiopia in 1993.
  • C. Hirshabelle
    Hirshabelle is a federal member state in central Somalia formed from parts of the Hiiraan and Middle Shabelle regions.
  • D. Afar
    Afar is a Cushitic language spoken primarily by the Afar people in the Horn of Africa, especially in Djibouti, Ethiopia, and Eritrea.
  • E. Tigré
    Tigré is a Semitic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6faa78b88190938bee2f81025083 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6faf39d4819091f76ce321c7e82a completed March 21, 2026, 10:15 a.m.
Created at: March 20, 2026, 1:29 p.m.