Triple

T22950073
Position Surface form Disambiguated ID Type / Status
Subject Alzette E569988 entity
Predicate hasTributary P415 FINISHED
Object Pétrusse
Pétrusse is a small river in Luxembourg that flows through Luxembourg City, contributing to the scenic valleys and fortifications around the capital.
 E1563451 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: Pétrusse | Statement: [Alzette, hasTributary, Pétrusse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pétrusse
Context triple: [Alzette, hasTributary, Pétrusse]
  • A. Lépaud
    Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
  • B. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • C. Klépierre
    Klépierre is a European real estate investment company specializing in the ownership and management of shopping centers across numerous countries.
  • D. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • E. Pierrerue
    Pierrerue is a small commune in southeastern France, located in the Vaucluse department of the Provence-Alpes-Côte d'Azur region.
  • 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: Pétrusse
Triple: [Alzette, hasTributary, Pétrusse]
Generated description
Pétrusse is a small river in Luxembourg that flows through Luxembourg City, contributing to the scenic valleys and fortifications around the capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pétrusse
Target entity description: Pétrusse is a small river in Luxembourg that flows through Luxembourg City, contributing to the scenic valleys and fortifications around the capital.
  • A. Lépaud
    Lépaud is a small rural commune in central France’s Creuse department, known for its traditional countryside setting within the Nouvelle-Aquitaine region.
  • B. Marcelin
    Marcelin is a French diminutive form of the given name Marcel, often used as an affectionate or familiar variant.
  • C. Klépierre
    Klépierre is a European real estate investment company specializing in the ownership and management of shopping centers across numerous countries.
  • D. Pélissier
    Pélissier is a French surname borne by various notable figures, including military leaders, athletes, and artists.
  • E. Pierrerue
    Pierrerue is a small commune in southeastern France, located in the Vaucluse department of the Provence-Alpes-Côte d'Azur region.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a085188190b06ffa227087302d completed April 29, 2026, 3:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca161ddc8190923967d024e894ba completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcaebed688190b2ea74c588922d98 completed May 19, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcbec354081909dbeeb389e86d38c completed May 19, 2026, 2:33 a.m.
Created at: April 17, 2026, 3:46 p.m.