Triple

T15117674
Position Surface form Disambiguated ID Type / Status
Subject Transport for West Midlands E361082 entity
Predicate replaced P101 FINISHED
Object Centro
Centro was the former public transport authority for the West Midlands metropolitan area in England, responsible for coordinating local bus, rail, and tram services before being succeeded by Transport for West Midlands.
 E1138092 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: Centro | Statement: [Transport for West Midlands, replaced, Centro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Centro
Context triple: [Transport for West Midlands, replaced, Centro]
  • A. Centro
    Centro is a NUTS 2 statistical region in central Portugal that includes areas such as Aveiro and Coimbra.
  • B. Centro
    Centro is the central urban district and main commercial hub of Novo Hamburgo in Rio Grande do Sul, Brazil.
  • C. Centro
    Centro is a municipality in the Mexican state of Tabasco whose administrative center is the city of Villahermosa.
  • D. Centro
    Centro is the historic downtown district of São Paulo, Brazil, known as the city’s main commercial, financial, and cultural hub.
  • E. Centro
    Centro is the primary public bus service brand operating in the Central New York region, providing local and regional transit across cities such as Syracuse and its surrounding communities.
  • 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: Centro
Triple: [Transport for West Midlands, replaced, Centro]
Generated description
Centro was the former public transport authority for the West Midlands metropolitan area in England, responsible for coordinating local bus, rail, and tram services before being succeeded by Transport for West Midlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Centro
Target entity description: Centro was the former public transport authority for the West Midlands metropolitan area in England, responsible for coordinating local bus, rail, and tram services before being succeeded by Transport for West Midlands.
  • A. Centro
    Centro is a NUTS 2 statistical region in central Portugal that includes areas such as Aveiro and Coimbra.
  • B. Centro
    Centro is a municipality in the Mexican state of Tabasco whose administrative center is the city of Villahermosa.
  • C. Centro
    Centro is the central urban district and main commercial hub of Novo Hamburgo in Rio Grande do Sul, Brazil.
  • D. Centro
    Centro is the historic downtown district of São Paulo, Brazil, known as the city’s main commercial, financial, and cultural hub.
  • E. Centro
    Centro is the primary public bus service brand operating in the Central New York region, providing local and regional transit across cities such as Syracuse and its surrounding communities.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0059ca9048190b742e70e818ee64f completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7f0bb80819080250580466a070a completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feb91365d8819082def7715d889991 completed May 9, 2026, 4:33 a.m.
NED2 Entity disambiguation (via description) batch_69feb9c72eec8190be19a052bcf6d20e completed May 9, 2026, 4:36 a.m.
Created at: April 10, 2026, 3:05 a.m.