Triple

T8109258
Position Surface form Disambiguated ID Type / Status
Subject Prahova County E189305 entity
Predicate hasTown P847 FINISHED
Object Plopeni
Plopeni is a small industrial town in southern Romania, located in Prahova County near the city of Ploiești.
 E712686 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: Plopeni | Statement: [Prahova County, hasTown, Plopeni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Plopeni
Context triple: [Prahova County, hasTown, Plopeni]
  • A. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • B. Pepis
    Pepis is an alternative historical spelling of the surname Pepys, most famously associated with the 17th-century English diarist Samuel Pepys.
  • C. Pitasch
    Pitasch was a former municipality in the canton of Graubünden in Switzerland, located in the Surselva region.
  • D. Gołąbki
    Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
  • E. Carepa
    Carepa is a municipality in Colombia’s Antioquia Department, known as part of the Urabá region and characterized by its strong agricultural, especially banana-producing, economy.
  • 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: Plopeni
Triple: [Prahova County, hasTown, Plopeni]
Generated description
Plopeni is a small industrial town in southern Romania, located in Prahova County near the city of Ploiești.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Plopeni
Target entity description: Plopeni is a small industrial town in southern Romania, located in Prahova County near the city of Ploiești.
  • A. Pakoštane
    Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
  • B. Pepis
    Pepis is an alternative historical spelling of the surname Pepys, most famously associated with the 17th-century English diarist Samuel Pepys.
  • C. Pitasch
    Pitasch was a former municipality in the canton of Graubünden in Switzerland, located in the Surselva region.
  • D. Gołąbki
    Gołąbki is a locality in Poland known historically as the place where former Polish president Stanisław Wojciechowski died.
  • E. Carepa
    Carepa is a municipality in Colombia’s Antioquia Department, known as part of the Urabá region and characterized by its strong agricultural, especially banana-producing, economy.
  • 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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fbc57c81908c6be87bbc547085 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc9421794081909170ea11b09ae357 completed April 1, 2026, 3:42 a.m.
NEDg Description generation batch_69cc95bfb2b08190ae4bbf8fdde3165d completed April 1, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69cc97781c0481909d21293633d111be completed April 1, 2026, 3:56 a.m.
Created at: March 30, 2026, 5:32 p.m.