Triple

T14872061
Position Surface form Disambiguated ID Type / Status
Subject Arlay E349771 entity
Predicate hasDemonym P191 FINISHED
Object Arlois
Arlois are the inhabitants or natives of Arlay, sharing its cultural and regional identity.
E1124248 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: Arlois | Statement: [Arlay, hasDemonym, Arlois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arlois
Context triple: [Arlay, hasDemonym, Arlois]
  • A. Barbaroux
    Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
  • B. Rigault
    Rigault is a French surname most notably associated with Raoul Rigault, a prominent figure of the Paris Commune of 1871.
  • C. Regnault
    Regnault is a French surname most notably associated with the 19th-century painter Henri Regnault.
  • D. Balard
    Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
  • E. Flandin
    Flandin is a French surname most notably borne by Pierre-Étienne Flandin, a prominent 20th-century French politician and statesman.
  • 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: Arlois
Triple: [Arlay, hasDemonym, Arlois]
Generated description
Arlois are the inhabitants or natives of Arlay, sharing its cultural and regional identity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arlois
Target entity description: Arlois are the inhabitants or natives of Arlay, sharing its cultural and regional identity.
  • A. Barbaroux
    Barbaroux is a French surname most notably associated with Charles Barbaroux, a prominent figure of the French Revolution.
  • B. Rigault
    Rigault is a French surname most notably associated with Raoul Rigault, a prominent figure of the Paris Commune of 1871.
  • C. Regnault
    Regnault is a French surname most notably associated with the 19th-century painter Henri Regnault.
  • D. Balard
    Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
  • E. Flandin
    Flandin is a French surname most notably borne by Pierre-Étienne Flandin, a prominent 20th-century French politician and statesman.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e2c94c8190a16f05ea81701fc1 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe65129a588190bbad294b500f411f completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66a5f3a88190827c6c9247323153 completed May 8, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69fe6736ff34819098524e4401a414aa completed May 8, 2026, 10:44 p.m.
Created at: April 10, 2026, 1:55 a.m.