Triple

T8710132
Position Surface form Disambiguated ID Type / Status
Subject Rahanweyn E206753 entity
Predicate ethnicGroup P194 FINISHED
Object Rahanweyn E206753 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: Rahanweyn | Statement: [Rahanweyn, ethnicGroup, Rahanweyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rahanweyn
Context triple: [Rahanweyn, ethnicGroup, Rahanweyn]
  • A. Rahanweyn chosen
    Rahanweyn is a major dialect (often considered a distinct variety) of the Somali language spoken primarily by the Rahanweyn clan families in southern Somalia.
  • B. Rahan
    Rahan is a rural village in County Offaly, Ireland, known for its historic religious and educational institutions and its proximity to the Grand Canal.
  • C. Raha
    Raha is a town in the Nagaon district of Assam, India, known as the birthplace of prominent Indian freedom fighter and politician Gopinath Bordoloi.
  • D. Raha
    Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
  • E. Nakfa
    Nakfa is a historically significant town in Eritrea known for its role in the independence struggle and for lending its name to the country’s national currency.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c3034708190b895eaf890d62198 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6eec316c8190a681791ceefa5804 completed April 3, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:35 p.m.