Triple

T13172024
Position Surface form Disambiguated ID Type / Status
Subject Draguignan E312999 entity
Predicate river P165 FINISHED
Object Nartuby
Nartuby is a small river in southeastern France that flows through the Var department, including the town of Draguignan.
 E1025609 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: Nartuby | Statement: [Draguignan, river, Nartuby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nartuby
Context triple: [Draguignan, river, Nartuby]
  • A. Narts
    Narts are a group of heroic, semi-divine figures from the mythological epic traditions of the peoples of the Caucasus, especially the Ossetians.
  • B. Narvarte
    Narvarte is a centrally located neighborhood in Mexico City known for its residential character, mid-20th-century architecture, and growing array of restaurants, cafes, and nightlife.
  • C. Nurata
    Nurata is a historic town in central Uzbekistan known for its ancient fortress, sacred spring, and role as a gateway to the Nuratau Mountains.
  • D. Nashtanirh
    Nashtanirh is a Bengali novella by Rabindranath Tagore that explores the emotional isolation and inner life of a neglected, intellectually gifted woman in a late 19th-century upper-class household.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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: Nartuby
Triple: [Draguignan, river, Nartuby]
Generated description
Nartuby is a small river in southeastern France that flows through the Var department, including the town of Draguignan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nartuby
Target entity description: Nartuby is a small river in southeastern France that flows through the Var department, including the town of Draguignan.
  • A. Narts
    Narts are a group of heroic, semi-divine figures from the mythological epic traditions of the peoples of the Caucasus, especially the Ossetians.
  • B. Narvarte
    Narvarte is a centrally located neighborhood in Mexico City known for its residential character, mid-20th-century architecture, and growing array of restaurants, cafes, and nightlife.
  • C. Nurata
    Nurata is a historic town in central Uzbekistan known for its ancient fortress, sacred spring, and role as a gateway to the Nuratau Mountains.
  • D. Nashtanirh
    Nashtanirh is a Bengali novella by Rabindranath Tagore that explores the emotional isolation and inner life of a neglected, intellectually gifted woman in a late 19th-century upper-class household.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2f22b881908a0af3af0a0af971 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eafb81288190a6dcc3bd872998d8 completed May 3, 2026, 6:28 a.m.
NEDg Description generation batch_69f6f18100148190bdb501b21d37e6af completed May 3, 2026, 6:56 a.m.
NED2 Entity disambiguation (via description) batch_69f6f25118508190a35d88cfbdfd77ec completed May 3, 2026, 6:59 a.m.
Created at: April 9, 2026, 9:13 p.m.