Triple

T19510039
Position Surface form Disambiguated ID Type / Status
Subject Saint-Fons E488123 entity
Predicate adjacentTo P224 FINISHED
Object Feyzin
Feyzin is a suburban commune in the Metropolis of Lyon in eastern France, known for its residential areas and nearby petrochemical and industrial facilities.
E1380218 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: Feyzin | Statement: [Saint-Fons, adjacentTo, Feyzin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feyzin
Context triple: [Saint-Fons, adjacentTo, Feyzin]
  • A. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • B. Puyemre
    Puyemre was an ancient Egyptian official and nobleman of the 18th Dynasty, known primarily from his elaborately decorated Theban tomb.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Lezayr
    Lezayr is a parish on the Isle of Man, known for its rural landscapes and historic churches.
  • E. Vallon
    Vallon is a small municipality in the canton of Fribourg in western Switzerland.
  • 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: Feyzin
Triple: [Saint-Fons, adjacentTo, Feyzin]
Generated description
Feyzin is a suburban commune in the Metropolis of Lyon in eastern France, known for its residential areas and nearby petrochemical and industrial facilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Feyzin
Target entity description: Feyzin is a suburban commune in the Metropolis of Lyon in eastern France, known for its residential areas and nearby petrochemical and industrial facilities.
  • A. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • B. Puyemre
    Puyemre was an ancient Egyptian official and nobleman of the 18th Dynasty, known primarily from his elaborately decorated Theban tomb.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Lezayr
    Lezayr is a parish on the Isle of Man, known for its rural landscapes and historic churches.
  • E. Vallon
    Vallon is a small municipality in the canton of Fribourg in western Switzerland.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351547e481909a875bba40651094 completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0747216ce4819084a42dd1d8b095d5 completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a0747f6b1d48190a3e70576ddb4feb2 completed May 15, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_6a07492259488190a8c405598f9c8878 completed May 15, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:40 p.m.