Triple

T5453491
Position Surface form Disambiguated ID Type / Status
Subject La Mer E122422 entity
Predicate catalogueNumber P5531 FINISHED
Object L. 109
L. 109 is the catalogue number assigned to Claude Debussy’s orchestral work "La Mer," one of his most celebrated impressionistic compositions.
 E520740 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: L. 109 | Statement: [La Mer, catalogueNumber, L. 109]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: L. 109
Context triple: [La Mer, catalogueNumber, L. 109]
  • A. L110
    L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
  • B. Line 10
    Line 10 is a major Shanghai Metro route known for serving central districts and key hubs such as Hongqiao Transportation Hub and the city’s historic and commercial areas.
  • C. Line 10
    Line 10 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving key residential and commercial districts.
  • D. Line 10
    Line 10 is a trolleybus route within Geneva’s public transport system that connects key districts and suburbs of the city.
  • E. Line 10
    Line 10 is a major loop line of the Beijing Subway that encircles central urban districts and serves as a key transfer route in the network.
  • 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: L. 109
Triple: [La Mer, catalogueNumber, L. 109]
Generated description
L. 109 is the catalogue number assigned to Claude Debussy’s orchestral work "La Mer," one of his most celebrated impressionistic compositions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: L. 109
Target entity description: L. 109 is the catalogue number assigned to Claude Debussy’s orchestral work "La Mer," one of his most celebrated impressionistic compositions.
  • A. L110
    L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
  • B. Line 10
    Line 10 is a major Shanghai Metro route known for serving central districts and key hubs such as Hongqiao Transportation Hub and the city’s historic and commercial areas.
  • C. Line 10
    Line 10 is a rapid transit line of the Shenzhen Metro system in Shenzhen, China, serving key residential and commercial districts.
  • D. Line 10
    Line 10 is a trolleybus route within Geneva’s public transport system that connects key districts and suburbs of the city.
  • E. Line 10
    Line 10 is a major loop line of the Beijing Subway that encircles central urban districts and serves as a key transfer route in the network.
  • 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_69bd46424248819085282ddf50a565f3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91e170f48190b47419b5e2ff71a4 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4140248081908c7f42b91579a837 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf41dd96448190973b7241df5dbb24 completed March 22, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69bf42b97d40819087a98c1cc58bb964 completed March 22, 2026, 1:15 a.m.
Created at: March 20, 2026, 2:08 p.m.