Triple

T16367845
Position Surface form Disambiguated ID Type / Status
Subject A Relíquia E397480 entity
Predicate hasCharacter P2308 FINISHED
Object Cruges
Cruges is a character in Eça de Queirós’s novel "A Relíquia," serving as one of the figures who shape the protagonist’s social and moral environment.
 E1209203 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: Cruges | Statement: [A Relíquia, hasCharacter, Cruges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cruges
Context triple: [A Relíquia, hasCharacter, Cruges]
  • A. Cheux
    Cheux is a small commune in the Calvados department of the Normandy region in northwestern France.
  • B. Marlais
    Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
  • C. La Passe
    La Passe is the principal village and harbor area on La Digue Island in the Seychelles, serving as its main hub for transport, tourism, and local commerce.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • 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: Cruges
Triple: [A Relíquia, hasCharacter, Cruges]
Generated description
Cruges is a character in Eça de Queirós’s novel "A Relíquia," serving as one of the figures who shape the protagonist’s social and moral environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cruges
Target entity description: Cruges is a character in Eça de Queirós’s novel "A Relíquia," serving as one of the figures who shape the protagonist’s social and moral environment.
  • A. Cheux
    Cheux is a small commune in the Calvados department of the Normandy region in northwestern France.
  • B. Marlais
    Marlais is the distinctive middle name of Welsh poet and writer Dylan Thomas, reflecting his Welsh heritage.
  • C. La Passe
    La Passe is the principal village and harbor area on La Digue Island in the Seychelles, serving as its main hub for transport, tourism, and local commerce.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3f0694819097faa1c1447a9e97 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc29f088190ba5d69ff3c12a251 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002ec2fd948190878af958d0b90ce6 completed May 10, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_6a00312a4fc48190b6bd6ad9db71bb4d completed May 10, 2026, 7:18 a.m.
Created at: April 10, 2026, 5:08 a.m.