Triple

T29203549
Position Surface form Disambiguated ID Type / Status
Subject Alstom Class 460 E740345 entity
Predicate rebuiltInto P148338 FINISHED
Object Class 458/5 units
The Class 458/5 units are British electric multiple-unit trains used on suburban and regional services, created by extensively rebuilding and lengthening the original Alstom Class 458 and 460 fleets.
 E1856060 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: Class 458/5 units | Statement: [Alstom Class 460, rebuiltInto, Class 458/5 units]
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: Class 458/5 units
Triple: [Alstom Class 460, rebuiltInto, Class 458/5 units]
Generated description
The Class 458/5 units are British electric multiple-unit trains used on suburban and regional services, created by extensively rebuilding and lengthening the original Alstom Class 458 and 460 fleets.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: rebuiltInto
Context triple: [Alstom Class 460, rebuiltInto, Class 458/5 units]
  • A. rebuiltFor
    Indicates that one entity has been reconstructed, renovated, or modified specifically to serve the needs, purposes, or use of another entity.
  • B. rebuiltUnder
    Indicates that an entity was reconstructed or restored while being subject to the authority, control, or governance of another entity.
  • C. rebuild
    Indicates restoring or constructing again something that was previously built, often after damage, destruction, or significant alteration.
  • D. laterRebuiltAs chosen
    Indicates that one entity was reconstructed or redeveloped at a later time to become or be replaced by another specific entity.
  • E. reconstructionBuilt
    Indicates that one entity carried out or was responsible for constructing a rebuilt or restored version of another entity.
  • 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_69f07cb974108190b7e86ca489a6ebb6 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f663c7b4f48190b66f966af570e768 completed May 2, 2026, 8:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2569bea46881909c7fc3d2393ee5e3 completed June 7, 2026, 12:53 p.m.
NEDg Description generation batch_6a256dc27c708190b74c697d4eb1f0a2 completed June 7, 2026, 1:10 p.m.
NED2 Entity disambiguation (via description) batch_6a257303ae008190aad081788fc11925 completed June 7, 2026, 1:32 p.m.
PD Predicate disambiguation batch_69f660f2e3708190ab658652bcfc04d0 completed May 2, 2026, 8:39 p.m.
Created at: April 28, 2026, 12:08 p.m.