Triple

T3115398
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Croydon E65049 entity
Predicate hasShoppingCentre P4285 FINISHED
Object Centrale
Centrale is a major shopping centre located in the London Borough of Croydon, featuring a wide range of retail stores and services.
 E327654 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: Centrale | Statement: [London Borough of Croydon, hasShoppingCentre, Centrale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Centrale
Context triple: [London Borough of Croydon, hasShoppingCentre, Centrale]
  • A. Centrale
    Centrale is a prestigious French engineering school renowned for its rigorous scientific curriculum and role in training elite engineers and industry leaders.
  • B. Centrs
    Centrs is the central district of Riga, Latvia, known for its historic architecture, cultural institutions, and commercial activity.
  • C. Sentrum
    Sentrum is the central district of Oslo, Norway, which hosts some of the University of Oslo’s urban campus facilities.
  • D. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
  • E. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • 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: Centrale
Triple: [London Borough of Croydon, hasShoppingCentre, Centrale]
Generated description
Centrale is a major shopping centre located in the London Borough of Croydon, featuring a wide range of retail stores and services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Centrale
Target entity description: Centrale is a major shopping centre located in the London Borough of Croydon, featuring a wide range of retail stores and services.
  • A. Centrale
    Centrale is a prestigious French engineering school renowned for its rigorous scientific curriculum and role in training elite engineers and industry leaders.
  • B. Centrs
    Centrs is the central district of Riga, Latvia, known for its historic architecture, cultural institutions, and commercial activity.
  • C. Sentrum
    Sentrum is the central district of Oslo, Norway, which hosts some of the University of Oslo’s urban campus facilities.
  • D. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
  • E. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada4e40bc48190b9b17c706a2450d5 completed March 8, 2026, 4:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2039d9d408190b01e45f0ced5ca3d completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b20547c0008190ac2589f54111bad9 completed March 12, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69b205bdf5c881908bc6ef7c3c30df65 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:04 p.m.