Triple

T6665348
Position Surface form Disambiguated ID Type / Status
Subject Nippes Department E151586 entity
Predicate hasSettlement P1068 FINISHED
Object Arnaud
Arnaud is a small commune located in Haiti’s Nippes Department.
 E608946 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: Arnaud | Statement: [Nippes Department, hasSettlement, Arnaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arnaud
Context triple: [Nippes Department, hasSettlement, Arnaud]
  • A. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • B. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • C. Aurélien
    Aurélien is a French given name commonly used for males, derived from the Latin name Aurelianus.
  • D. Ambroise
    Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
  • E. Vincent Baudriller
    Vincent Baudriller is a French theater director and cultural manager best known for his leadership roles at major European performing arts institutions, including the Festival d’Avignon and the Théâtre de Vidy in Lausanne.
  • 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: Arnaud
Triple: [Nippes Department, hasSettlement, Arnaud]
Generated description
Arnaud is a small commune located in Haiti’s Nippes Department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arnaud
Target entity description: Arnaud is a small commune located in Haiti’s Nippes Department.
  • A. Benoît
    Benoît is the French form of the given name Benedict, commonly used in French-speaking countries.
  • B. Clément
    Clément is a French given name, equivalent to Clement in English, commonly used for males.
  • C. Aurélien
    Aurélien is a French given name commonly used for males, derived from the Latin name Aurelianus.
  • D. Ambroise
    Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
  • E. Vincent Baudriller
    Vincent Baudriller is a French theater director and cultural manager best known for his leadership roles at major European performing arts institutions, including the Festival d’Avignon and the Théâtre de Vidy in Lausanne.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b09d97648190a254cabc0ffcb0dc completed March 27, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef0e33308190995fcccf50d134c1 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a3f0b481908dfe70d626277e8f completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f1a3995c8190b22766356b6e6bf8 completed March 27, 2026, 9:07 p.m.
Created at: March 27, 2026, 2:02 p.m.