Triple

T16596503
Position Surface form Disambiguated ID Type / Status
Subject Les Arcs-sur-Argens E403220 entity
Predicate river P165 FINISHED
Object Argens
Argens is a river in southeastern France that flows through the Var department and several Provençal towns before emptying into the Mediterranean Sea.
 E1222862 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: Argens | Statement: [Les Arcs-sur-Argens, river, Argens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Argens
Context triple: [Les Arcs-sur-Argens, river, Argens]
  • A. Arogno
    Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
  • B. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • C. Sarazi
    Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
  • D. Auregnais
    Auregnais is an extinct Norman dialect once spoken on the Channel Island of Alderney.
  • E. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • 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: Argens
Triple: [Les Arcs-sur-Argens, river, Argens]
Generated description
Argens is a river in southeastern France that flows through the Var department and several Provençal towns before emptying into the Mediterranean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Argens
Target entity description: Argens is a river in southeastern France that flows through the Var department and several Provençal towns before emptying into the Mediterranean Sea.
  • A. Arogno
    Arogno is a small municipality in the canton of Ticino in southern Switzerland, located near Lake Lugano and the Italian border.
  • B. Arganil
    Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
  • C. Sarazi
    Sarazi is an Indo-Aryan language spoken primarily in the Chenab Valley region of Jammu and Kashmir, India.
  • D. Auregnais
    Auregnais is an extinct Norman dialect once spoken on the Channel Island of Alderney.
  • E. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d723c508190b5afbda5eec5abea completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00759fe6ec81908c5321dcba558269 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a007825547c81909230ac39761fba96 completed May 10, 2026, 12:20 p.m.
NED2 Entity disambiguation (via description) batch_6a00788e103481908d40bbe4a3cb1695 completed May 10, 2026, 12:22 p.m.
Created at: April 10, 2026, 5:16 a.m.