Triple

T12787860
Position Surface form Disambiguated ID Type / Status
Subject Monts du Lyonnais E305677 entity
Predicate hasSettlement P1068 FINISHED
Object Larajasse
Larajasse is a rural commune in eastern France situated within the scenic Monts du Lyonnais range, known for its hilly landscapes and agricultural character.
 E1003543 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: Larajasse | Statement: [Monts du Lyonnais, hasSettlement, Larajasse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larajasse
Context triple: [Monts du Lyonnais, hasSettlement, Larajasse]
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Larhat
    Larhat is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
  • C. Lare
    Lare is a town in Ethiopia’s western Gambela Region, known as one of the area’s principal local centers.
  • D. Liausson
    Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
  • E. Lakkjia
    Lakkjia is an alternative name for the Lakkia language, a Kam–Sui language spoken by the Lakkia people in parts of southern China.
  • 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: Larajasse
Triple: [Monts du Lyonnais, hasSettlement, Larajasse]
Generated description
Larajasse is a rural commune in eastern France situated within the scenic Monts du Lyonnais range, known for its hilly landscapes and agricultural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larajasse
Target entity description: Larajasse is a rural commune in eastern France situated within the scenic Monts du Lyonnais range, known for its hilly landscapes and agricultural character.
  • A. Laja
    Laja is a small Chilean city in the Biobío Region, known for its riverside setting and proximity to the Biobío River.
  • B. Larhat
    Larhat is a coastal town and commune in northern Algeria, situated within Tipaza Province along the Mediterranean Sea.
  • C. Lare
    Lare is a town in Ethiopia’s western Gambela Region, known as one of the area’s principal local centers.
  • D. Liausson
    Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
  • E. Lakkjia
    Lakkjia is an alternative name for the Lakkia language, a Kam–Sui language spoken by the Lakkia people in parts of southern China.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e5dbdb88190a1b06721ada51627 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850703948190984acf9e434cd2a7 completed May 2, 2026, 11:13 p.m.
NEDg Description generation batch_69f685dc63f48190bb68f9859e99e3b4 completed May 2, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69f68a92226881909600555332c2c370 completed May 2, 2026, 11:36 p.m.
Created at: April 9, 2026, 5:29 p.m.