Triple

T14067487
Position Surface form Disambiguated ID Type / Status
Subject Siebenbürger Sachsen E338511 entity
Predicate traditionalCenters P112687 FINISHED
Object Reps (Rupea) E968347 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: Reps (Rupea) | Statement: [Siebenbürger Sachsen, traditionalCenters, Reps (Rupea)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reps (Rupea)
Context triple: [Siebenbürger Sachsen, traditionalCenters, Reps (Rupea)]
  • A. Reps – Rupea chosen
    Reps – Rupea is a historic Transylvanian town in present-day Romania, known for its medieval fortress and Saxon heritage.
  • B. The Ruppes
    The Ruppes are a Southern gospel music trio known for their tight family harmonies and inspirational Christian songs.
  • C. Orlandi Valuta
    Orlandi Valuta is a money transfer and financial services brand owned by Western Union, primarily serving customers in the United States and Latin America.
  • D. 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.
  • E. Raha
    Raha is a coastal town and administrative center located on Muna Island in Southeast Sulawesi, Indonesia.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568b81f08190a571004261c0e8e4 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66aeff8819088239226bbe25fd5 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.