Triple

T30441050
Position Surface form Disambiguated ID Type / Status
Subject M1 Junction 19 E774443 entity
Predicate nextJunctionOnM1 P169437 FINISHED
Object M1 Junction 20
M1 Junction 20 is a motorway interchange on England’s M1 that provides access to the A4304 and serves the Lutterworth and Market Harborough area in Leicestershire.
 E1915343 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: M1 Junction 20 | Statement: [M1 Junction 19, nextJunctionOnM1, M1 Junction 20]
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: M1 Junction 20
Triple: [M1 Junction 19, nextJunctionOnM1, M1 Junction 20]
Generated description
M1 Junction 20 is a motorway interchange on England’s M1 that provides access to the A4304 and serves the Lutterworth and Market Harborough area in Leicestershire.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: nextJunctionOnM1
Context triple: [M1 Junction 19, nextJunctionOnM1, M1 Junction 20]
  • A. nearJunctionOf
    Indicates that one entity is located close to the point where two or more linear features (such as roads, tracks, or paths) meet or intersect.
  • B. roadJunctionNumberOnM4
    Indicates the specific junction number that a road has on the M4 motorway.
  • C. hasJunctionNumberOnM60
    Indicates that an entity has a specific junction number assigned on the M60 motorway.
  • D. isMajorRoadJunction
    Indicates that a location serves as a primary intersection where major roads or highways meet or cross.
  • E. roadTerminusOf
    Indicates that a road ends at, or has its terminal point at, the referenced location or route.
  • F. None of above. chosen

Provenance (7 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_69f22493ef9c8190ae8c2afcb7f994c8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6869840948190bdb374de6c9edf96 completed May 2, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2798c1f3f08190aeb481c0c6a80485 completed June 9, 2026, 4:38 a.m.
NEDg Description generation batch_6a279c3015cc8190aaeedc6222520b7b completed June 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_6a279ce453108190a68db27eb0b35665 completed June 9, 2026, 4:56 a.m.
PD Predicate disambiguation batch_69f678d2196c8190b9d0d2fcd47cc539 completed May 2, 2026, 10:21 p.m.
PDg Predicate description generation batch_69f67d31cc60819084f64bd056e1ea4d completed May 2, 2026, 10:39 p.m.
Created at: April 29, 2026, 8:08 p.m.