Triple

T21474161
Position Surface form Disambiguated ID Type / Status
Subject La Route des Flandres E529808 entity
Predicate hasCharacter P2308 FINISHED
Object Iglésia
Iglésia is a central female character in Claude Simon’s novel "La Route des Flandres," often associated with themes of desire, memory, and the fragmented perceptions of the narrator.
 E1486433 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: Iglésia | Statement: [La Route des Flandres, hasCharacter, Iglésia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Iglésia
Context triple: [La Route des Flandres, hasCharacter, Iglésia]
  • A. Iglesiente
    Iglesiente is a historical mining and coastal region in southwestern Sardinia, Italy, known for its rugged landscapes and rich mineral resources.
  • B. Iglesia
    Iglesia is a Madrid Metro station on Line 1 located in the Chamberí district, serving the area around the historic Iglesia de Santa Teresa y Santa Isabel.
  • C. Iglas
    Iglas is a town in the Braj cultural region of northern India, known for its agrarian surroundings and local trading activities.
  • D. Chiese
    The Chiese is a river in northern Italy that flows through the Lombardy region before joining the Oglio River.
  • E. Chiesa
    Chiesa is an Italian surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • 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: Iglésia
Triple: [La Route des Flandres, hasCharacter, Iglésia]
Generated description
Iglésia is a central female character in Claude Simon’s novel "La Route des Flandres," often associated with themes of desire, memory, and the fragmented perceptions of the narrator.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Iglésia
Target entity description: Iglésia is a central female character in Claude Simon’s novel "La Route des Flandres," often associated with themes of desire, memory, and the fragmented perceptions of the narrator.
  • A. Iglesiente
    Iglesiente is a historical mining and coastal region in southwestern Sardinia, Italy, known for its rugged landscapes and rich mineral resources.
  • B. Iglesia
    Iglesia is a Madrid Metro station on Line 1 located in the Chamberí district, serving the area around the historic Iglesia de Santa Teresa y Santa Isabel.
  • C. Iglas
    Iglas is a town in the Braj cultural region of northern India, known for its agrarian surroundings and local trading activities.
  • D. Chiese
    The Chiese is a river in northern Italy that flows through the Lombardy region before joining the Oglio River.
  • E. Chiesa
    Chiesa is an Italian surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1650788190bd55ebdbf1dfc46f completed April 23, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09cff96dbc8190adae0f91749530e4 completed May 17, 2026, 2:26 p.m.
NEDg Description generation batch_6a09d08ffa3c8190b5ab7e4cbf78719f completed May 17, 2026, 2:28 p.m.
NED2 Entity disambiguation (via description) batch_6a09d18c77e481908a353d443d79b7ca completed May 17, 2026, 2:32 p.m.
Created at: April 16, 2026, 6:19 p.m.