Triple

T12081867
Position Surface form Disambiguated ID Type / Status
Subject Lac Chambon E287698 entity
Predicate nearbySettlement P350 FINISHED
Object Murol
Murol is a picturesque commune in central France’s Auvergne region, known for its medieval hilltop castle and scenic volcanic landscapes.
 E968055 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: Murol | Statement: [Lac Chambon, nearbySettlement, Murol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Murol
Context triple: [Lac Chambon, nearbySettlement, Murol]
  • A. Monjo
    Monjo is a small Sherpa village in Nepal’s Khumbu region that serves as a common stop for trekkers on the route to Everest Base Camp.
  • B. Moxhe
    Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
  • C. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • D. Murlo
    Murlo is a small historic municipality in Tuscany, Italy, known for its Etruscan archaeological heritage and picturesque rural landscape.
  • E. Mabor
    Mabor is a tire brand owned by Continental AG, known for producing affordable passenger and commercial vehicle tires.
  • 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: Murol
Triple: [Lac Chambon, nearbySettlement, Murol]
Generated description
Murol is a picturesque commune in central France’s Auvergne region, known for its medieval hilltop castle and scenic volcanic landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Murol
Target entity description: Murol is a picturesque commune in central France’s Auvergne region, known for its medieval hilltop castle and scenic volcanic landscapes.
  • A. Monjo
    Monjo is a small Sherpa village in Nepal’s Khumbu region that serves as a common stop for trekkers on the route to Everest Base Camp.
  • B. Moxhe
    Moxhe is a village in the municipality of Hannut in the province of Liège, Belgium.
  • C. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • D. Murlo
    Murlo is a small historic municipality in Tuscany, Italy, known for its Etruscan archaeological heritage and picturesque rural landscape.
  • E. Mabor
    Mabor is a tire brand owned by Continental AG, known for producing affordable passenger and commercial vehicle tires.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904dc98a88190a5873f3fd8e1a0b2 completed April 10, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66509208190b7206e78df41c2fe completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f6022ecf38819080f0eb6a3a815c5b completed May 2, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_69f606560934819092ba4d4fa162b799 completed May 2, 2026, 2:12 p.m.
Created at: April 8, 2026, 9:48 p.m.