Triple

T34347789
Position Surface form Disambiguated ID Type / Status
Subject East Midlands rail network E881483 entity
Predicate includesLine P2124 FINISHED
Object Leicester–Peterborough line
The Leicester–Peterborough line is a key regional railway route in England linking the East Midlands with East Anglia and serving both passenger and freight traffic.
 E2090668 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: Leicester–Peterborough line | Statement: [East Midlands rail network, includesLine, Leicester–Peterborough 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: Leicester–Peterborough line
Triple: [East Midlands rail network, includesLine, Leicester–Peterborough line]
Generated description
The Leicester–Peterborough line is a key regional railway route in England linking the East Midlands with East Anglia and serving both passenger and freight traffic.

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_69f349bc55e881908c8e338ef76b0043 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f713f124348190a3885486e5a6dbd2 completed May 3, 2026, 9:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36f9e663dc8190a582b6be9af10f03 completed June 20, 2026, 8:36 p.m.
NEDg Description generation batch_6a36fa5581dc8190ab4338ac70a8f16a completed June 20, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a36fb292a5c81908ad8344c6ce6c4db completed June 20, 2026, 8:42 p.m.
Created at: May 1, 2026, 1:58 a.m.