Triple

T11665420
Position Surface form Disambiguated ID Type / Status
Subject Hôtel d’Angleterre E277235 entity
Predicate hasRestaurant P4442 FINISHED
Object Marchal
Marchal is a fine-dining restaurant at Copenhagen’s historic Hôtel d’Angleterre, known for its elegant Nordic-French cuisine and refined atmosphere.
 E939157 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: Marchal | Statement: [Hôtel d’Angleterre, hasRestaurant, Marchal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marchal
Context triple: [Hôtel d’Angleterre, hasRestaurant, Marchal]
  • A. Marchais
    Marchais is a French surname most notably borne by Georges Marchais, a prominent 20th-century French communist politician.
  • B. Marechal
    Marechal is the highest Portuguese Army rank, equivalent to a field marshal, typically reserved for wartime or exceptional command.
  • C. Martinet
    Martinet is a French surname most famously borne by Charles Martinet, the longtime voice actor of Nintendo’s Mario.
  • D. Martial
    Martial was a prominent Roman poet of the Silver Age renowned for his sharp, epigrammatic verses that satirized everyday life and society in ancient Rome.
  • E. Maurage
    Maurage is a village in the Walloon region of Belgium, forming part of the municipality of La Louvière in the province of Hainaut.
  • 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: Marchal
Triple: [Hôtel d’Angleterre, hasRestaurant, Marchal]
Generated description
Marchal is a fine-dining restaurant at Copenhagen’s historic Hôtel d’Angleterre, known for its elegant Nordic-French cuisine and refined atmosphere.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marchal
Target entity description: Marchal is a fine-dining restaurant at Copenhagen’s historic Hôtel d’Angleterre, known for its elegant Nordic-French cuisine and refined atmosphere.
  • A. Marchais
    Marchais is a French surname most notably borne by Georges Marchais, a prominent 20th-century French communist politician.
  • B. Marechal
    Marechal is the highest Portuguese Army rank, equivalent to a field marshal, typically reserved for wartime or exceptional command.
  • C. Martinet
    Martinet is a French surname most famously borne by Charles Martinet, the longtime voice actor of Nintendo’s Mario.
  • D. Martial
    Martial was a prominent Roman poet of the Silver Age renowned for his sharp, epigrammatic verses that satirized everyday life and society in ancient Rome.
  • E. Maurage
    Maurage is a village in the Walloon region of Belgium, forming part of the municipality of La Louvière in the province of Hainaut.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a43f438081909da476294a057c38 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee88355fe08190b16b417c12e69e1a completed April 26, 2026, 9:48 p.m.
NEDg Description generation batch_69eeb316ba948190a39dfc80d6245b17 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee9b59f448190b97ecd05c843ce78 completed April 27, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:39 p.m.