Triple

T8676737
Position Surface form Disambiguated ID Type / Status
Subject L’heure espagnole E205932 entity
Predicate catalogueNumber P5531 FINISHED
Object M.52
M.52 is the catalogue number assigned to Maurice Ravel’s one-act comic opera "L’heure espagnole."
 E752085 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: M.52 | Statement: [L’heure espagnole, catalogueNumber, M.52]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M.52
Context triple: [L’heure espagnole, catalogueNumber, M.52]
  • A. M-52
    M-52 is a state highway in Michigan that runs north–south through several counties, serving as an important regional route for local and through traffic.
  • B. M-59
    M-59 is an east–west state highway in southeastern Michigan that serves as a major suburban arterial route connecting communities north of Detroit.
  • C. M-50
    M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
  • D. M-20
    M-20 is a state trunkline highway in Michigan that runs east–west across the central part of the state, connecting communities such as Midland to the broader regional road network.
  • E. M62
    M62 is a major trans-Pennine motorway in northern England connecting cities such as Liverpool, Manchester, Leeds, and Hull.
  • 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: M.52
Triple: [L’heure espagnole, catalogueNumber, M.52]
Generated description
M.52 is the catalogue number assigned to Maurice Ravel’s one-act comic opera "L’heure espagnole."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M.52
Target entity description: M.52 is the catalogue number assigned to Maurice Ravel’s one-act comic opera "L’heure espagnole."
  • A. M-52
    M-52 is a state highway in Michigan that runs north–south through several counties, serving as an important regional route for local and through traffic.
  • B. M-59
    M-59 is an east–west state highway in southeastern Michigan that serves as a major suburban arterial route connecting communities north of Detroit.
  • C. M-50
    M-50 is a major orbital motorway around Madrid, Spain, designed to divert traffic from the city center and connect key suburbs and highways.
  • D. M-20
    M-20 is a state trunkline highway in Michigan that runs east–west across the central part of the state, connecting communities such as Midland to the broader regional road network.
  • E. M62
    M62 is a major trans-Pennine motorway in northern England connecting cities such as Liverpool, Manchester, Leeds, and Hull.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc49f67cdc819092d1ca541c6d22b9 completed March 31, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3a008d48190bd0e58f615eda148 completed April 2, 2026, 10:54 p.m.
NEDg Description generation batch_69cef52000048190bc5451cfb6446ced completed April 2, 2026, 11 p.m.
NED2 Entity disambiguation (via description) batch_69cef809df548190b4f9ecc709b3b065 completed April 2, 2026, 11:13 p.m.
Created at: March 30, 2026, 6:32 p.m.