Triple

T27171123
Position Surface form Disambiguated ID Type / Status
Subject TELT E682911 entity
Predicate projectInvolves P82597 FINISHED
Object Mont Cenis base tunnel
The Mont Cenis base tunnel is a major transalpine rail tunnel under construction between France and Italy, designed to significantly improve high-speed and freight rail connections across the Alps.
 E1761121 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: Mont Cenis base tunnel | Statement: [TELT, projectInvolves, Mont Cenis base tunnel]
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: Mont Cenis base tunnel
Triple: [TELT, projectInvolves, Mont Cenis base tunnel]
Generated description
The Mont Cenis base tunnel is a major transalpine rail tunnel under construction between France and Italy, designed to significantly improve high-speed and freight rail connections across the Alps.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: projectInvolves
Context triple: [TELT, projectInvolves, Mont Cenis base tunnel]
  • A. intendedProject
    Indicates that an entity is the planned or targeted project associated with another entity (such as a person, organization, or activity).
  • B. hasProject
    Indicates that an entity is associated with or responsible for a particular project.
  • C. collaborativeProjects
    Indicates that two or more entities work together on shared projects or initiatives toward common goals.
  • D. isOnProject chosen
    Indicates that an entity is currently assigned to, involved with, or working on a particular project.
  • E. projectsOn
    Indicates that one entity casts, directs, or extends itself onto the surface, area, or domain of another entity.
  • 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_69eefacf6e788190a75a64399d9e3109 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f62cd2ceb481908cd9fae52a542206 completed May 2, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a125388d6a0819092971a404f7992c5 completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a12546f814881908c806a1805b7473d completed May 24, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_6a12552837d88190a12496ca49423f0f completed May 24, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69f62c1762f881908c25e8f70ecd5041 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 9:23 a.m.