Triple

T9555406
Position Surface form Disambiguated ID Type / Status
Subject Falaise E230526 entity
Predicate hasDemonym P191 FINISHED
Object Falaisiens
Falaisiens are the inhabitants of the town of Falaise in the Calvados department of Normandy, France.
E806697 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: Falaisiens | Statement: [Falaise, hasDemonym, Falaisiens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falaisiens
Context triple: [Falaise, hasDemonym, Falaisiens]
  • A. Orlysiens
    Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
  • B. Roisséens
    Roisséens are the inhabitants of Roissy-en-France, a commune in the northeastern suburbs of Paris near Charles de Gaulle Airport.
  • C. Fages
    Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
  • D. Athois
    Athois is the French demonym for an inhabitant of the town of Ath in Belgium.
  • E. Sorguaises
    Sorguaises are the female inhabitants or natives of Sorgues, a commune in southeastern France.
  • 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: Falaisiens
Triple: [Falaise, hasDemonym, Falaisiens]
Generated description
Falaisiens are the inhabitants of the town of Falaise in the Calvados department of Normandy, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Falaisiens
Target entity description: Falaisiens are the inhabitants of the town of Falaise in the Calvados department of Normandy, France.
  • A. Orlysiens
    Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
  • B. Roisséens
    Roisséens are the inhabitants of Roissy-en-France, a commune in the northeastern suburbs of Paris near Charles de Gaulle Airport.
  • C. Fages
    Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
  • D. Athois
    Athois is the French demonym for an inhabitant of the town of Ath in Belgium.
  • E. Sorguaises
    Sorguaises are the female inhabitants or natives of Sorgues, a commune in southeastern France.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9927209c8190bbb494fc9003bc99 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152913df0819089ec9656dcdc9fa1 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d153c26b8481908298b32918666562 completed April 4, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69d15445e7a88190accd19c53a6170bb completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.