Triple

T13083959
Position Surface form Disambiguated ID Type / Status
Subject Warta E310280 entity
Predicate hasTributary P415 FINISHED
Object Obra
Obra is a river in western Poland that flows through the Greater Poland region before joining the Warta River.
 E1019730 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: Obra | Statement: [Warta, hasTributary, Obra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Obra
Context triple: [Warta, hasTributary, Obra]
  • A. Morenada
    Morenada is a traditional Bolivian folk dance and music style, characterized by heavy costumes, elaborate masks, and rhythms that evoke the labor of African slaves in colonial mines.
  • B. Urquiola
    Urquiola is the surname of Patricia Urquiola, a renowned Spanish architect and industrial designer known for her innovative furniture and interior designs.
  • C. Murillo
    Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday life.
  • D. Murillo
    Murillo is a small Colombian town in the Tolima department, known as a gateway for trekking and mountaineering in the Los Nevados National Natural Park.
  • E. Artés
    Artés is a municipality in the comarca of Bages in Catalonia, Spain, known for its wine and cava production.
  • 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: Obra
Triple: [Warta, hasTributary, Obra]
Generated description
Obra is a river in western Poland that flows through the Greater Poland region before joining the Warta River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Obra
Target entity description: Obra is a river in western Poland that flows through the Greater Poland region before joining the Warta River.
  • A. Morenada
    Morenada is a traditional Bolivian folk dance and music style, characterized by heavy costumes, elaborate masks, and rhythms that evoke the labor of African slaves in colonial mines.
  • B. Urquiola
    Urquiola is the surname of Patricia Urquiola, a renowned Spanish architect and industrial designer known for her innovative furniture and interior designs.
  • C. Murillo
    Murillo is a small Colombian town in the Tolima department, known as a gateway for trekking and mountaineering in the Los Nevados National Natural Park.
  • D. Murillo
    Murillo was a prominent 17th-century Spanish Baroque painter renowned for his religious works and tender, luminous depictions of everyday life.
  • E. Artés
    Artés is a municipality in the comarca of Bages in Catalonia, Spain, known for its wine and cava production.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60e7b48819087e4583a5736c1df completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d76cc33c8190ac8113094bcf868b completed May 3, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_69f6d8013e9481908f5edcce7247212d completed May 3, 2026, 5:07 a.m.
Created at: April 9, 2026, 9:02 p.m.