Triple

T1379001
Position Surface form Disambiguated ID Type / Status
Subject Corsu E29293 entity
Predicate hasDialect P4251 FINISHED
Object Cismuntincu
Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
 E158624 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: Cismuntincu | Statement: [Corsu, hasDialect, Cismuntincu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cismuntincu
Context triple: [Corsu, hasDialect, Cismuntincu]
  • A. Satu Mare
    Satu Mare is a city in northwestern Romania near the Hungarian border, known as a regional economic and cultural center with a diverse ethnic heritage.
  • B. Sighetu Marmației
    Sighetu Marmației is a town in northern Romania’s Maramureș region, known as the birthplace of Nobel laureate and Holocaust survivor Elie Wiesel.
  • C. Râmnicu Vâlcea
    Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
  • D. Pitești
    Pitești is a city in southern Romania, known as an important industrial and transportation hub and the capital of Argeș County.
  • E. Scînteia
    Scînteia was the official newspaper and primary propaganda organ of the Romanian Communist Party during the communist era in Romania.
  • 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: Cismuntincu
Triple: [Corsu, hasDialect, Cismuntincu]
Generated description
Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cismuntincu
Target entity description: Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
  • A. Satu Mare
    Satu Mare is a city in northwestern Romania near the Hungarian border, known as a regional economic and cultural center with a diverse ethnic heritage.
  • B. Sighetu Marmației
    Sighetu Marmației is a town in northern Romania’s Maramureș region, known as the birthplace of Nobel laureate and Holocaust survivor Elie Wiesel.
  • C. Râmnicu Vâlcea
    Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
  • D. Pitești
    Pitești is a city in southern Romania, known as an important industrial and transportation hub and the capital of Argeș County.
  • E. Scînteia
    Scînteia was the official newspaper and primary propaganda organ of the Romanian Communist Party during the communist era in Romania.
  • 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_69a498d883a48190bfdca525296ef7ee completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c3187f248190a5813274b0ef944d completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd48a48fc81908b156c273cb5dfc0 completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd77d879881908decae7056bfd277 completed March 8, 2026, 1:57 a.m.
NED2 Entity disambiguation (via description) batch_69acd81c7c1081908b65ca5a57f8706e completed March 8, 2026, 1:59 a.m.
Created at: March 1, 2026, 7:59 p.m.