Triple

T3498197
Position Surface form Disambiguated ID Type / Status
Subject Alpes-Maritimes E73900 entity
Predicate containsRiver P165 FINISHED
Object Roya
Roya is a river in southeastern France and northwestern Italy that flows through the Alps to the Mediterranean Sea.
 E362755 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: Roya | Statement: [Alpes-Maritimes, containsRiver, Roya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roya
Context triple: [Alpes-Maritimes, containsRiver, Roya]
  • A. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • B. Shirin
    Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
  • C. Gulnare
    Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
  • D. Randa
    Randa is a small town in Djibouti’s Tadjourah Region, known as a settlement along the route between the capital and the northern parts of the country.
  • E. Parsa
    Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
  • 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: Roya
Triple: [Alpes-Maritimes, containsRiver, Roya]
Generated description
Roya is a river in southeastern France and northwestern Italy that flows through the Alps to the Mediterranean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Roya
Target entity description: Roya is a river in southeastern France and northwestern Italy that flows through the Alps to the Mediterranean Sea.
  • A. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • B. Shirin
    Shirin is a feminine given name of Persian origin, widely used in Iran and other Persian-influenced cultures.
  • C. Gulnare
    Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
  • D. Randa
    Randa is a small town in Djibouti’s Tadjourah Region, known as a settlement along the route between the capital and the northern parts of the country.
  • E. Parsa
    Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd299ec8190b76b165b2fd70537 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d011c0819088245afe03be3c44 completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b3745c7304819085a47af79cd738c0 completed March 13, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b374f5999c8190ae48570a412dc6dc completed March 13, 2026, 2:22 a.m.
Created at: March 8, 2026, 3:18 p.m.