Triple

T3853283
Position Surface form Disambiguated ID Type / Status
Subject Orb E85347 entity
Predicate hasTributary P415 FINISHED
Object Vernazobre
Vernazobre is a river in southern France that serves as a tributary of the Orb.
 E392492 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: Vernazobre | Statement: [Orb, hasTributary, Vernazobre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vernazobre
Context triple: [Orb, hasTributary, Vernazobre]
  • A. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • B. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • C. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • D. Lavezares
    Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
  • E. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • 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: Vernazobre
Triple: [Orb, hasTributary, Vernazobre]
Generated description
Vernazobre is a river in southern France that serves as a tributary of the Orb.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vernazobre
Target entity description: Vernazobre is a river in southern France that serves as a tributary of the Orb.
  • A. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • B. Ibora
    Ibora was an ancient town in Pontus (in modern-day Turkey) known as the birthplace of the influential Christian monk and theologian Evagrius Ponticus.
  • C. La Peineta
    La Peineta was a former athletics and football stadium in Madrid that served as the precursor to the modern Cívitas Metropolitano, home of Atlético Madrid.
  • D. Lavezares
    Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
  • E. Caleruega
    Caleruega is a small town in the province of Burgos, Spain, best known as the birthplace of Saint Dominic, founder of the Dominican Order.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec01f7b48190ba1ec89328b3fccb completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5041c7250819093b2743afeb6e36c completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504c46dcc8190a9775c39e5c734a9 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b505742830819093a861bde17c03c0 completed March 14, 2026, 6:51 a.m.
Created at: March 9, 2026, 3:19 p.m.