Triple

T2451908
Position Surface form Disambiguated ID Type / Status
Subject Prut River E53723 entity
Predicate hasLeftTributary P415 FINISHED
Object Șomuzul Mare
Șomuzul Mare is a river in northeastern Romania that serves as a left-bank tributary of the Prut River.
 E268998 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: Șomuzul Mare | Statement: [Prut River, hasLeftTributary, Șomuzul Mare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Șomuzul Mare
Context triple: [Prut River, hasLeftTributary, Șomuzul Mare]
  • A. Cismuntincu
    Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
  • B. Cernavodă
    Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
  • C. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • D. Moldava nad Bodvou
    Moldava nad Bodvou is a small town in eastern Slovakia known for its multicultural character and location near the Slovak Karst region.
  • E. Mór
    Mór is a town in central Hungary known for its wine production and location between the Vértes and Bakony hills.
  • 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: Șomuzul Mare
Triple: [Prut River, hasLeftTributary, Șomuzul Mare]
Generated description
Șomuzul Mare is a river in northeastern Romania that serves as a left-bank tributary of the Prut River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Șomuzul Mare
Target entity description: Șomuzul Mare is a river in northeastern Romania that serves as a left-bank tributary of the Prut River.
  • A. Cismuntincu
    Cismuntincu is a major regional dialect of the Corsican language traditionally spoken in the eastern and northern parts of Corsica.
  • B. Cernavodă
    Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
  • C. Velkua
    Velkua is a former island municipality in southwestern Finland known for its coastal archipelago landscape in the Baltic Sea.
  • D. Moldava nad Bodvou
    Moldava nad Bodvou is a small town in eastern Slovakia known for its multicultural character and location near the Slovak Karst region.
  • E. Mór
    Mór is a town in central Hungary known for its wine production and location between the Vértes and Bakony hills.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f52524819088b00009c9dd1823 completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0c544788190bb0e8c5ae4a32ff0 completed March 9, 2026, 4:09 p.m.
NEDg Description generation batch_69aef53740508190893b14bb1b411a30 completed March 9, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_69aef9594024819088e7afc0e64429ff completed March 9, 2026, 4:46 p.m.
Created at: March 6, 2026, 9:43 p.m.