Triple

T12739905
Position Surface form Disambiguated ID Type / Status
Subject Scioa E304461 entity
Predicate borders P224 FINISHED
Object Arsi
Arsi is a historical region in central Ethiopia, traditionally inhabited by Oromo people and known for its highlands and agricultural significance.
E1000762 NE FINISHED

How this triple was built (4 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: [Scioa, borders, Arsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arsi
Context triple: [Scioa, borders, Arsi]
  • A. Asarluhi
    Asarluhi is a Mesopotamian god associated with incantations, magic, and exorcism, later syncretized with the god Marduk.
  • B. Asciano
    Asciano is a historic Tuscan town in central Italy, known for its medieval architecture and scenic location in the Crete Senesi landscape.
  • C. Tarti
    Tarti is a small coastal settlement near Plomari on the Greek island of Lesbos, known for its beach and seaside tavernas.
  • D. Aorsi
    Aorsi were an ancient Iranian-speaking nomadic people of the Eurasian steppe, associated with the Sarmatian cultural sphere and known from Greco-Roman sources.
  • E. Rascia
    Rascia is a historical region in the central Balkans that formed the medieval core of the Serbian state.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arsi
Triple: [Scioa, borders, Arsi]
Generated description
Arsi is a historical region in central Ethiopia, traditionally inhabited by Oromo people and known for its highlands and agricultural significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arsi
Target entity description: Arsi is a historical region in central Ethiopia, traditionally inhabited by Oromo people and known for its highlands and agricultural significance.
  • A. Asarluhi
    Asarluhi is a Mesopotamian god associated with incantations, magic, and exorcism, later syncretized with the god Marduk.
  • B. Asciano
    Asciano is a historic Tuscan town in central Italy, known for its medieval architecture and scenic location in the Crete Senesi landscape.
  • C. Tarti
    Tarti is a small coastal settlement near Plomari on the Greek island of Lesbos, known for its beach and seaside tavernas.
  • D. Aorsi
    Aorsi were an ancient Iranian-speaking nomadic people of the Eurasian steppe, associated with the Sarmatian cultural sphere and known from Greco-Roman sources.
  • E. Rascia
    Rascia is a historical region in the central Balkans that formed the medieval core of the Serbian state.
  • F. None of above. chosen

Provenance (5 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9646dfc908190bc398935d1d23537 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8ff57c8190a935b5c9f4bb5aa3 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67e7416948190a08eb3de840def77 completed May 2, 2026, 10:45 p.m.
NED2 Entity disambiguation (via description) batch_69f67f7d237081908d3b6e8d759ea03e completed May 2, 2026, 10:49 p.m.
Created at: April 9, 2026, 5:26 p.m.