Triple

T27171039
Position Surface form Disambiguated ID Type / Status
Subject Mont d’Ambin Base Tunnel E682909 entity
Predicate operatorProject P144535 FINISHED
Object Lyon Turin Ferroviaire
Lyon Turin Ferroviaire is the bi-national project company responsible for developing and managing the cross-border section of the future high-speed rail link between Lyon, France, and Turin, Italy.
 E1760271 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: Lyon Turin Ferroviaire | Statement: [Mont d’Ambin Base Tunnel, operatorProject, Lyon Turin Ferroviaire]
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: Lyon Turin Ferroviaire
Triple: [Mont d’Ambin Base Tunnel, operatorProject, Lyon Turin Ferroviaire]
Generated description
Lyon Turin Ferroviaire is the bi-national project company responsible for developing and managing the cross-border section of the future high-speed rail link between Lyon, France, and Turin, Italy.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: operatorProject
Context triple: [Mont d’Ambin Base Tunnel, operatorProject, Lyon Turin Ferroviaire]
  • A. operatorTask
    Indicates that an operator is responsible for performing or managing a specific task.
  • B. operationOf
    Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
  • C. operatorPlanned
    Indicates that an operator has scheduled or arranged a specific action, process, or operation to occur.
  • D. projectOperated chosen
    Indicates that a project is actively run, managed, or carried out by a particular agent or organization.
  • E. operator
    Indicates that one entity functions as the operator (controller or handler) of another entity, such as a system, device, or process.
  • 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_69fdb31800508190beec15adb9bbd292 completed May 8, 2026, 9:55 a.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_6a125512eb608190b958f82af3475535 completed May 24, 2026, 1:32 a.m.
PD Predicate disambiguation batch_69fdb19c381c8190bafb2f565da097f1 completed May 8, 2026, 9:49 a.m.
Created at: April 27, 2026, 9:23 a.m.