Triple

T35177185
Position Surface form Disambiguated ID Type / Status
Subject European route E46 E1015738 entity
Predicate followsMotorway P56524 FINISHED
Object French A13 motorway
The French A13 motorway is a major toll highway in northern France that connects Paris to Normandy, including the city of Caen.
 E2129696 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: French A13 motorway | Statement: [European route E46, followsMotorway, French A13 motorway]
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: French A13 motorway
Triple: [European route E46, followsMotorway, French A13 motorway]
Generated description
The French A13 motorway is a major toll highway in northern France that connects Paris to Normandy, including the city of Caen.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: followsMotorway
Context triple: [European route E46, followsMotorway, French A13 motorway]
  • A. followsHighway chosen
    Indicates that one entity’s path or route runs along, parallels, or adheres closely to the course of a specified highway.
  • B. motorwayServedBy
    Indicates that a motorway is connected to or accessed by a particular service facility, route, or transport service.
  • C. isMotorwayIn
    Indicates that a motorway is located within or passes through a specified geographic area or administrative region.
  • D. nearestMotorway
    Indicates that one entity is the motorway that is geographically closest to the other entity.
  • E. motorwayConnectionWith
    Indicates that two locations are directly connected by a motorway, allowing vehicular travel between them via that road.
  • 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_69f76ddcc108819097f96853b7ed9ef4 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fef8c3f2388190b995ec173512945a completed May 9, 2026, 9:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37fb1757bc81909365f66fb30f2380 completed June 21, 2026, 2:54 p.m.
NEDg Description generation batch_6a37fbeeeafc81908120d6489582b61a completed June 21, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_6a37fc86db2481909015f6fe63315f08 completed June 21, 2026, 3 p.m.
PD Predicate disambiguation batch_69fef65975608190960b78d27e806d4f completed May 9, 2026, 8:54 a.m.
Created at: May 3, 2026, 4:02 p.m.