Triple

T20023239
Position Surface form Disambiguated ID Type / Status
Subject CFR Călători E494912 entity
Predicate regionServed P82 FINISHED
Object Crisana
Crișana is a historical and geographical region in western Romania, known for its diverse cultural heritage and location along the upper Tisza and Criș rivers near the Hungarian border.
 E1406808 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: Crisana | Statement: [CFR Călători, regionServed, Crisana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crisana
Context triple: [CFR Călători, regionServed, Crisana]
  • A. Crișul
    Crișul is a river system in western Romania and eastern Hungary, known in Hungarian as Körös, that flows into the Tisza River.
  • B. Nicoleta
    Nicoleta is a Romanian feminine given name commonly used in Eastern Europe.
  • C. Vasilică
    Vasilică is a Romanian masculine given name, used as a diminutive or affectionate form of the name Vasile.
  • D. Otilia
    Otilia is the given first name of the Romanian poet and essayist Ana Blandiana.
  • E. Bistrita
    Bistrița is a historic city in northern Romania, known for its medieval architecture and role as a cultural and economic center of the Transylvania region.
  • 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: Crisana
Triple: [CFR Călători, regionServed, Crisana]
Generated description
Crișana is a historical and geographical region in western Romania, known for its diverse cultural heritage and location along the upper Tisza and Criș rivers near the Hungarian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crisana
Target entity description: Crișana is a historical and geographical region in western Romania, known for its diverse cultural heritage and location along the upper Tisza and Criș rivers near the Hungarian border.
  • A. Crișul
    Crișul is a river system in western Romania and eastern Hungary, known in Hungarian as Körös, that flows into the Tisza River.
  • B. Nicoleta
    Nicoleta is a Romanian feminine given name commonly used in Eastern Europe.
  • C. Vasilică
    Vasilică is a Romanian masculine given name, used as a diminutive or affectionate form of the name Vasile.
  • D. Otilia
    Otilia is the given first name of the Romanian poet and essayist Ana Blandiana.
  • E. Bistrita
    Bistrița is a historic city in northern Romania, known for its medieval architecture and role as a cultural and economic center of the Transylvania region.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628a1ecc8190bf6ee0bedb61e0b8 completed April 20, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080e2d32008190a770addba6e44adb completed May 16, 2026, 6:26 a.m.
NEDg Description generation batch_6a080ec9c56481908b69834b5a1ae105 completed May 16, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_6a080f6e218c8190b4c7b0d5de9f984c completed May 16, 2026, 6:32 a.m.
Created at: April 11, 2026, 3:35 p.m.