Triple

T2180775
Position Surface form Disambiguated ID Type / Status
Subject Centre-Val de Loire E49035 entity
Predicate formerName P65 FINISHED
Object Centre
Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
 E241348 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: Centre | Statement: [Centre-Val de Loire, formerName, Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Centre
Context triple: [Centre-Val de Loire, formerName, Centre]
  • A. Central
    Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
  • B. Central
    Central is a former British ITV regional television company that served the Midlands region and produced a wide range of popular UK programming.
  • C. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • D. Centrs
    Centrs is the central district of Riga, Latvia, known for its historic architecture, cultural institutions, and commercial activity.
  • E. City Centre
    City Centre is Mississauga’s primary downtown core, known for its high-density residential towers, major shopping complexes, and civic and cultural facilities.
  • 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: Centre
Triple: [Centre-Val de Loire, formerName, Centre]
Generated description
Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Centre
Target entity description: Centre was the former name of the administrative region in central France now known as Centre-Val de Loire.
  • A. Central
    Central is a subway station on the Massachusetts Bay Transportation Authority (MBTA) system located in Cambridge, Massachusetts.
  • B. Central
    Central is a former British ITV regional television company that served the Midlands region and produced a wide range of popular UK programming.
  • C. Mitte
    Mitte is the central district of Berlin, Germany, known as the historic core of the city and home to many major landmarks and government institutions.
  • D. Centrs
    Centrs is the central district of Riga, Latvia, known for its historic architecture, cultural institutions, and commercial activity.
  • E. City Centre
    City Centre is Mississauga’s primary downtown core, known for its high-density residential towers, major shopping complexes, and civic and cultural facilities.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbef0e2f0819080ca457fe3b8b419 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da5930c819087e71a609f76e269 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e4a45a08190bd96af6cda06ab35 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ec4a35c8190bffc7a183497e764 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.