Triple

T35436738
Position Surface form Disambiguated ID Type / Status
Subject Col de la Bonette E1024229 entity
Predicate hasLoopRoadAroundSummit P148612 FINISHED
Object Cime de la Bonette
Cime de la Bonette is a high Alpine peak in the French Alps, notable for being encircled by one of Europe’s highest paved mountain roads.
 E1024229 NE FINISHED

How this triple was built (3 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: Cime de la Bonette | Statement: [Col de la Bonette, hasLoopRoadAroundSummit, Cime de la Bonette]
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: Cime de la Bonette
Triple: [Col de la Bonette, hasLoopRoadAroundSummit, Cime de la Bonette]
Generated description
Cime de la Bonette is a high Alpine peak in the French Alps, notable for being encircled by one of Europe’s highest paved mountain roads.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLoopRoadAroundSummit
Context triple: [Col de la Bonette, hasLoopRoadAroundSummit, Cime de la Bonette]
  • A. hasLoopRoad chosen
    Indicates that a location or area is connected by a road that forms a closed loop, beginning and ending at the same point.
  • B. hasSummitRoad
    Indicates that there exists a road providing access to the summit or highest point of a geographic feature or structure.
  • C. hasSummitOnSideOf
    Indicates that the summit or highest point of one geographic feature is located on the side of another feature.
  • D. hasSummitTrail
    Indicates that there exists a trail or route leading to the summit or highest point of a geographic feature.
  • E. hasSummitTunnel
    Indicates that a summit or peak contains or is traversed by a tunnel.
  • F. None of above.

Provenance (6 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_69f76df743c48190aecb6dd79efb0d95 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ff234f32888190a1d800a3bda432eb completed May 9, 2026, 12:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a384029b4cc819083a6a873f8512ec7 completed June 21, 2026, 7:48 p.m.
NEDg Description generation batch_6a38413f74d88190b7d5497e1b67451a completed June 21, 2026, 7:53 p.m.
NED2 Entity disambiguation (via description) batch_6a3841e441d08190a5d5e858f5088e05 completed June 21, 2026, 7:56 p.m.
PD Predicate disambiguation batch_69ff228ae9a0819083f4b97c10b923f4 completed May 9, 2026, 12:03 p.m.
Created at: May 3, 2026, 4:04 p.m.