Triple

T15868841
Position Surface form Disambiguated ID Type / Status
Subject Aromãnji E384780 entity
Predicate nativeName P15 FINISHED
Object Aromãnji E384780 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: Aromãnji | Statement: [Aromãnji, nativeName, Aromãnji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aromãnji
Context triple: [Aromãnji, nativeName, Aromãnji]
  • A. Aromãnji chosen
    Aromãnji are an Eastern Romance ethnic group native to the Balkans, commonly known in English as the Aromanians or Vlachs.
  • B. Etnedal
    Etnedal is a rural municipality in Innlandet county, Norway, known for its forested valleys, agriculture, and outdoor recreation.
  • C. Etne
    Etne is a rural municipality in Vestland county, western Norway, known for its fjords, mountains, and traditional farming and fishing communities.
  • D. Segestani
    The Segestani were an ancient Illyrian tribe that inhabited the region around the city of Siscia in what is now central Croatia.
  • E. Romerike
    Romerike is a traditional district in southeastern Norway, northeast of Oslo, known for its mix of agricultural landscapes, growing suburbs, and key transport links including Oslo Airport Gardermoen.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155f7fe8c81908fb60ada27b14c8b completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94a4d208190805d33da0e433092 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.