Triple

T20086869
Position Surface form Disambiguated ID Type / Status
Subject Matabaan E496157 entity
Predicate locatedIn P40 FINISHED
Object Hirshabelle 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: Hirshabelle | Statement: [Matabaan, locatedIn, Hirshabelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hirshabelle
Context triple: [Matabaan, locatedIn, Hirshabelle]
  • A. Hirshabelle chosen
    Hirshabelle is a federal member state in central Somalia formed from parts of the Hiiraan and Middle Shabelle regions.
  • B. Jijiga
    Jijiga is a major city in eastern Ethiopia that serves as the political and economic hub of the Somali Region.
  • C. Mahlet
    Mahlet is a traditional poetic and musical form used in the Eritrean Orthodox Church’s liturgy, characterized by its chant-like, devotional style.
  • D. Senafe
    Senafe is a town in southern Eritrea known for its strategic location near the Ethiopian border and its surrounding highland landscapes.
  • E. Afar Region
    The Afar Region is a northeastern Ethiopian state inhabited mainly by the Afar people, known for its arid lowlands, pastoralist culture, and proximity to the geologically active Afar Depression.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6655ba40c8190adea0e271a1249cf completed April 20, 2026, 5:41 p.m.
Created at: April 11, 2026, 11:12 p.m.