Triple

T37517393
Position Surface form Disambiguated ID Type / Status
Subject Uccle-Calevoet / Ukkel-Kalevoet E932671 entity
Predicate railwayLine P848 FINISHED
Object Brussels–Charleroi railway line
The Brussels–Charleroi railway line is a major Belgian rail route connecting the capital Brussels with the industrial city of Charleroi, serving numerous suburban and regional stations along the way.
E2239520 NE FINISHED

How this triple was built (2 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: Brussels–Charleroi railway line | Statement: [Uccle-Calevoet / Ukkel-Kalevoet, railwayLine, Brussels–Charleroi railway line]
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: Brussels–Charleroi railway line
Triple: [Uccle-Calevoet / Ukkel-Kalevoet, railwayLine, Brussels–Charleroi railway line]
Generated description
The Brussels–Charleroi railway line is a major Belgian rail route connecting the capital Brussels with the industrial city of Charleroi, serving numerous suburban and regional stations along the way.

Provenance (5 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_69f76ec730988190b5aa4f9cb9afd518 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba3cd542c8190b23264ec0f8bab2e completed May 6, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40cda599348190895b20c3ff0b96dc completed June 28, 2026, 7:30 a.m.
NEDg Description generation batch_6a40ce5899208190bd9ce55470abe0e7 completed June 28, 2026, 7:33 a.m.
NED2 Entity disambiguation (via description) batch_6a40cf3590c48190988529eb57a92a9e completed June 28, 2026, 7:37 a.m.
Created at: May 3, 2026, 4:17 p.m.