Triple

T18618739
Position Surface form Disambiguated ID Type / Status
Subject Shewa E455094 entity
Predicate borders P224 FINISHED
Object Arsi 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: Arsi | Statement: [Shewa, borders, Arsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arsi
Context triple: [Shewa, borders, Arsi]
  • A. Arsi chosen
    Arsi is a historical region in central Ethiopia, traditionally inhabited by Oromo people and known for its highlands and agricultural significance.
  • B. Asarluhi
    Asarluhi is a Mesopotamian god associated with incantations, magic, and exorcism, later syncretized with the god Marduk.
  • C. Argassi
    Argassi is a popular seaside resort village on the Greek island of Zakynthos, known for its beaches, nightlife, and proximity to Zakynthos Town.
  • D. Asciano
    Asciano is a historic Tuscan town in central Italy, known for its medieval architecture and scenic location in the Crete Senesi landscape.
  • E. Tarti
    Tarti is a small coastal settlement near Plomari on the Greek island of Lesbos, known for its beach and seaside tavernas.
  • 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d07dc288190bb3b8b5ab06518da completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:46 a.m.