Triple

T13812276
Position Surface form Disambiguated ID Type / Status
Subject Ligne 2 E331921 entity
Predicate hasStation P35 FINISHED
Object Avron
Avron is a Paris Métro station on Line 2 located in the 11th arrondissement of Paris, France.
 E1063108 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: Avron | Statement: [Ligne 2, hasStation, Avron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avron
Context triple: [Ligne 2, hasStation, Avron]
  • A. Avin
    Avin is a village in the municipality of Hannut in the province of Liège, Belgium.
  • B. Eliassen
    Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
  • C. Horonaim
    Horonaim is an ancient Moabite town known from biblical texts and the Mesha Stele, associated with conflicts between Moab and Israel.
  • D. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • E. Dror
    Dror was a Jewish underground resistance group associated with the Jewish Combat Organization that took part in anti-Nazi activities during World War II.
  • 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: Avron
Triple: [Ligne 2, hasStation, Avron]
Generated description
Avron is a Paris Métro station on Line 2 located in the 11th arrondissement of Paris, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avron
Target entity description: Avron is a Paris Métro station on Line 2 located in the 11th arrondissement of Paris, France.
  • A. Avin
    Avin is a village in the municipality of Hannut in the province of Liège, Belgium.
  • B. Eliassen
    Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
  • C. Horonaim
    Horonaim is an ancient Moabite town known from biblical texts and the Mesha Stele, associated with conflicts between Moab and Israel.
  • D. Arvin
    Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
  • E. Dror
    Dror was a Jewish underground resistance group associated with the Jewish Combat Organization that took part in anti-Nazi activities during World War II.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de027198f8819095da3e714ac241f5 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8de34a4819090c99cb78b941003 completed May 3, 2026, 9:06 p.m.
NEDg Description generation batch_69f7b974fce88190ace5030555b7b5f1 completed May 3, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69f7ba936c4481908757699ff22d3904 completed May 3, 2026, 9:13 p.m.
Created at: April 9, 2026, 10:12 p.m.