Triple

T1087845
Position Surface form Disambiguated ID Type / Status
Subject Vistula River E24092 entity
Predicate flowsThrough P225 FINISHED
Object Płock
Płock is a historic city in central Poland known for its medieval architecture and scenic location on the banks of the Vistula River.
 E229370 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: Płock | Statement: [Vistula River, flowsThrough, Płock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Płock
Context triple: [Vistula River, flowsThrough, Płock]
  • A. Radom
    Radom is a city in central Poland known as an important regional industrial and cultural center.
  • B. Lublin
    Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
  • C. Zielona Góra
    Zielona Góra is a city in western Poland known for its wine-making tradition and annual wine festival.
  • D. Sandomierz
    Sandomierz is a historic town in southeastern Poland, known for its well-preserved Old Town, medieval architecture, and picturesque location on the Vistula River.
  • E. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • 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: Płock
Triple: [Vistula River, flowsThrough, Płock]
Generated description
Płock is a historic city in central Poland known for its medieval architecture and scenic location on the banks of the Vistula River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Płock
Target entity description: Płock is a historic city in central Poland known for its medieval architecture and scenic location on the banks of the Vistula River.
  • A. Radom
    Radom is a city in central Poland known as an important regional industrial and cultural center.
  • B. Lublin
    Lublin is a historic city in eastern Poland known as a major cultural, academic, and economic center and for its significant role in Polish political history.
  • C. Zielona Góra
    Zielona Góra is a city in western Poland known for its wine-making tradition and annual wine festival.
  • D. Sandomierz
    Sandomierz is a historic town in southeastern Poland, known for its well-preserved Old Town, medieval architecture, and picturesque location on the Vistula River.
  • E. Łódź
    Łódź is one of Poland’s largest cities, historically known as a major industrial and textile manufacturing center.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97c64a88190bf1119fdd4940bf3 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fa73fe8819097bcd6c07793bc52 completed March 9, 2026, 1:17 a.m.
NEDg Description generation batch_69ae20efd4dc8190addf69c80a33d247 completed March 9, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69ae21b4ce248190bbd7542592db0ec4 completed March 9, 2026, 1:26 a.m.
Created at: March 1, 2026, 7:42 p.m.