Triple

T6554630
Position Surface form Disambiguated ID Type / Status
Subject Decazeville E152413 entity
Predicate formerName P65 FINISHED
Object La Salle
La Salle was the former name of the French industrial town now known as Decazeville, historically associated with coal mining in the Aveyron department.
 E604710 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: La Salle | Statement: [Decazeville, formerName, La Salle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Salle
Context triple: [Decazeville, formerName, La Salle]
  • A. La Salle
    La Salle is a small alpine municipality in Italy’s Aosta Valley, known for its scenic mountain landscapes and proximity to Mont Blanc.
  • B. La Salle College
    La Salle College is a prestigious boys' secondary school in Hong Kong known for its strong academic performance and prominent alumni in politics, business, and public service.
  • C. Regis
    Regis is an honorific term historically used in English to denote royal association, particularly in place names granted royal patronage.
  • D. Loyola
    Loyola is a Spanish Basque noble family name most famously associated with Ignatius of Loyola, the founder of the Society of Jesus (Jesuits).
  • E. Salud-La Salle
    Salud-La Salle is a district of Santa Cruz de Tenerife on the island of Tenerife in Spain’s Canary Islands.
  • 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: La Salle
Triple: [Decazeville, formerName, La Salle]
Generated description
La Salle was the former name of the French industrial town now known as Decazeville, historically associated with coal mining in the Aveyron department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Salle
Target entity description: La Salle was the former name of the French industrial town now known as Decazeville, historically associated with coal mining in the Aveyron department.
  • A. La Salle
    La Salle is a small alpine municipality in Italy’s Aosta Valley, known for its scenic mountain landscapes and proximity to Mont Blanc.
  • B. La Salle College
    La Salle College is a prestigious boys' secondary school in Hong Kong known for its strong academic performance and prominent alumni in politics, business, and public service.
  • C. Regis
    Regis is an honorific term historically used in English to denote royal association, particularly in place names granted royal patronage.
  • D. Loyola
    Loyola is a Spanish Basque noble family name most famously associated with Ignatius of Loyola, the founder of the Society of Jesus (Jesuits).
  • E. Salud-La Salle
    Salud-La Salle is a district of Santa Cruz de Tenerife on the island of Tenerife in Spain’s Canary Islands.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1c07cc819089c297edad943a57 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55707d081908104f08e1d59d603 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d67574cc8190acf20c1a598c32ee completed March 27, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69c6d84076d48190ada0903af49613de completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:51 p.m.