Triple

T13035890
Position Surface form Disambiguated ID Type / Status
Subject Iliad SA E326559 entity
Predicate subsidiary P258 FINISHED
Object Free SAS
Free SAS is a major French telecommunications company best known for its low-cost internet and mobile services under the Free brand.
 E1017922 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: Free SAS | Statement: [Iliad SA, subsidiary, Free SAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Free SAS
Context triple: [Iliad SA, subsidiary, Free SAS]
  • A. SAS
    SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
  • B. SAS
    SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
  • C. SAS
    SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
  • D. SAS
    SAS is the standard abbreviation used for the NBA team San Antonio Spurs.
  • E. SAS
    SAS is the station code for San Antonio railway station.
  • 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: Free SAS
Triple: [Iliad SA, subsidiary, Free SAS]
Generated description
Free SAS is a major French telecommunications company best known for its low-cost internet and mobile services under the Free brand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Free SAS
Target entity description: Free SAS is a major French telecommunications company best known for its low-cost internet and mobile services under the Free brand.
  • A. SAS
    SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
  • B. SAS
    SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
  • C. SAS
    SAS is the standard abbreviation used for the NBA team San Antonio Spurs.
  • D. SAS
    SAS is the station code for San Antonio railway station.
  • E. SAS
    SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97f2a71a0819098bb6cf8a4b2208a completed April 10, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbcf11f88190ab1746f973132af1 completed May 3, 2026, 4:15 a.m.
NEDg Description generation batch_69f6cee0a27081909203e3331186b4ca completed May 3, 2026, 4:28 a.m.
NED2 Entity disambiguation (via description) batch_69f6cf987f68819084edcd6613832fe8 completed May 3, 2026, 4:31 a.m.
Created at: April 9, 2026, 8:55 p.m.