Triple

T3488570
Position Surface form Disambiguated ID Type / Status
Subject KeolisAmey Metrolink E73669 entity
Predicate parentCompany P254 FINISHED
Object Amey
Amey is a UK-based infrastructure and public services company that provides engineering, maintenance, and management services across transport, utilities, and public sectors.
 E362094 NE FINISHED

How this triple was built (4 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: Amey | Statement: [KeolisAmey Metrolink, parentCompany, Amey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amey
Context triple: [KeolisAmey Metrolink, parentCompany, Amey]
  • A. Hamey
    Hamey is a diminutive or affectionate nickname derived from the given name Hamish.
  • B. Amee
    Amee is a character portrayed by Katie Lucas, likely within a film or television production.
  • C. Amay
    Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
  • D. Eleme
    Eleme are an ethnic subgroup of the Ogoni people in Nigeria’s Rivers State, known for their distinct language and culture within the Niger Delta region.
  • E. Bigham
    Bigham is an English surname historically associated with British nobility, including the Viscounts Mersey.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Amey
Triple: [KeolisAmey Metrolink, parentCompany, Amey]
Generated description
Amey is a UK-based infrastructure and public services company that provides engineering, maintenance, and management services across transport, utilities, and public sectors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amey
Target entity description: Amey is a UK-based infrastructure and public services company that provides engineering, maintenance, and management services across transport, utilities, and public sectors.
  • A. Hamey
    Hamey is a diminutive or affectionate nickname derived from the given name Hamish.
  • B. Amee
    Amee is a character portrayed by Katie Lucas, likely within a film or television production.
  • C. Amay
    Amay is a municipality in the Walloon Region of Belgium, located in the province of Liège along the Meuse River.
  • D. Eleme
    Eleme are an ethnic subgroup of the Ogoni people in Nigeria’s Rivers State, known for their distinct language and culture within the Niger Delta region.
  • E. Bigham
    Bigham is an English surname historically associated with British nobility, including the Viscounts Mersey.
  • F. None of above. chosen

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_69ad85cca8d4819088494e9f3340fab5 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbb92b3ac8190b8675f5a5e9d4408 completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36826ff448190880f1ee708d93215 completed March 13, 2026, 1:28 a.m.
NEDg Description generation batch_69b36bedbb5881909e029c1d46782013 completed March 13, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_69b36fc00f30819088eda5ef85324273 completed March 13, 2026, 2 a.m.
Created at: March 8, 2026, 3:18 p.m.