Triple

T13172753
Position Surface form Disambiguated ID Type / Status
Subject Brașov E313017 entity
Predicate historicalName P65 FINISHED
Object Brassó
Brassó is the historical Hungarian name for the Romanian city of Brașov, a major cultural and economic center in Transylvania.
E1025663 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: Brassó | Statement: [Brașov, historicalName, Brassó]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brassó
Context triple: [Brașov, historicalName, Brassó]
  • A. Gironella
    Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
  • B. Balenyà
    Balenyà is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
  • C. Garriga
    Garriga is a Spanish surname most notably borne by Ignacio Garriga, a contemporary Spanish politician.
  • D. Sonseca
    Sonseca is a municipality in central Spain known for its traditional furniture industry and location within the autonomous community of Castilla-La Mancha.
  • E. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • 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: Brassó
Triple: [Brașov, historicalName, Brassó]
Generated description
Brassó is the historical Hungarian name for the Romanian city of Brașov, a major cultural and economic center in Transylvania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brassó
Target entity description: Brassó is the historical Hungarian name for the Romanian city of Brașov, a major cultural and economic center in Transylvania.
  • A. Gironella
    Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
  • B. Balenyà
    Balenyà is a municipality in the comarca of Osona in Catalonia, Spain, known for its rural character and proximity to the city of Vic.
  • C. Garriga
    Garriga is a Spanish surname most notably borne by Ignacio Garriga, a contemporary Spanish politician.
  • D. Sonseca
    Sonseca is a municipality in central Spain known for its traditional furniture industry and location within the autonomous community of Castilla-La Mancha.
  • E. Vernazobre
    Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2f22b881908a0af3af0a0af971 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eafb81288190a6dcc3bd872998d8 completed May 3, 2026, 6:28 a.m.
NEDg Description generation batch_69f6f18100148190bdb501b21d37e6af completed May 3, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6f25118508190a35d88cfbdfd77ec completed May 3, 2026, 6:59 a.m.
Created at: April 9, 2026, 9:13 p.m.